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Author Information
Matthia Sabatelli (University of Liège)
Adam Stooke (UC Berkeley)
Amir Abdi (University of British Columbia)
Senior Machine Learning Scientist / Engineer
Paulo Rauber (IDSIA)
Leonard Adolphs (ETH Zurich)
Ian Osband (DeepMind)
Hardik Meisheri (Tata Consultancy Services)
Hardik Meisheri is a researcher at TCS Research, Mumbai since 2016. He is currently working on the application of Deep Reinforcement learning to a control problem with high dimensional action space. He has also worked extensively on sentiment analysis over noisy text. Before joining TCS, Hardik was pursuing M.Tech with specialization in Machine Intelligence from DA-IICT, Gandhinagar. His research interests include Intersection of Deep Learning and Natural Language Processing, Reinforcement learning on optimal control problems and Artificial General Intelligence/Meta-Learning.
Karol Kurach (Google Brain)
Johannes Ackermann (Technical University of Munich)
Matt Benatan (IBM Research UK)
GUO ZHANG (MIT)
Chen Tessler (Technion)
Dinghan Shen (Duke University)
Mikayel Samvelyan (Russian-Armenian University)
Riashat Islam (MILA/McGill)
Murtaza Dalal (University of California, Berkeley)
Luke Harries (Microsoft Research)
Andrey Kurenkov (Stanford University)
Konrad Żołna (DeepMind)
Sudeep Dasari (UC Berkeley)
Kristian Hartikainen (UC Berkeley / Oxford)
Ofir Nachum (Google)
Kimin Lee (Korea Advanced Institute of Science and Technology)
Markus Holzleitner (LIT AI Lab / University Linz)
Vu Nguyen (University of Oxford)
Francis Song (DeepMind)
Christopher Grimm (University of Michigan)
Felipe Leno da Silva (University of Sao Paulo)
Yuping Luo (Princeton University)
Yifan Wu (Carnegie Mellon University)
Alex Lee (University of California, Berkeley)
Thomas Paine (DeepMind)
Wei-Yang Qu (NanJing University)
Daniel Graves (Huawei Technologies Canada)
Yannis Flet-Berliac (Inria SequeL team)
Yunhao Tang (Columbia University)
I am a PhD student at Columbia IEOR. My research interests are reinforcement learning and approximate inference.
Suraj Nair (Stanford University)
Matthew Hausknecht (Microsoft Research)
Akhil Bagaria (Brown University)
Simon Schmitt (DeepMind)
Bowen Baker (OpenAI)
Paavo Parmas (Okinawa Institute of Science and Technology Graduate University)
Benjamin Eysenbach (Carnegie Mellon University)

Assistant professor at Princeton working on self-supervised reinforcement learning (scaling, algorithms, theory, and applications).
Lisa Lee (Carnegie Mellon University)
Siyu Lin (The University of Virginia)
Daniel Seita (University of California, Berkeley)
Abhishek Gupta (University of California, Berkeley)
Riley Simmons-Edler (Princeton University)
Yijie Guo (University of Michigan)
Kevin Corder (University of Delaware)
Vikash Kumar (UW, CSE)
Scott Fujimoto (McGill University)
Adam Lerer (Facebook AI Research)
Ignasi Clavera Gilaberte (UC Berkeley)
Nicholas Rhinehart (Carnegie Mellon University)
Nick Rhinehart is a Postdoctoral Scholar in the Electrical Engineering and Computer Science Department at the University of California, Berkeley, where he works with Sergey Levine. His work focuses on fundamental and applied research in machine learning and computer vision for behavioral forecasting and control in complex environments, with an emphasis on imitation learning, reinforcement learning, and deep learning methods. Applications of his work include autonomous vehicles and first-person video. He received a Ph.D. in Robotics from Carnegie Mellon University with Kris Kitani, and B.S. and B.A. degrees in Engineering and Computer Science from Swarthmore College. Nick's work has been honored with a Best Paper Award at the ICML 2019 Workshop on AI for Autonomous Driving and a Best Paper Honorable Mention Award at ICCV 2017. His work has been published at a variety of top-tier venues in machine learning, computer vision, and robotics, including AAMAS, CoRL, CVPR, ECCV, ICCV, ICLR, ICML, ICRA, NeurIPS, and PAMI. Nick co-organized the workshop on Machine Learning in Autonomous Driving at NeurIPS 2019, the workshop on Imitation, Intent, and Interaction at ICML 2019, and the Tutorial on Inverse RL for Computer Vision at CVPR 2018.
Ashvin Nair (UC Berkeley)
Ge Yang (Berkeley)
Lingxiao Wang (Northwestern University)
Sungryull Sohn (University of Michigan)
J. Fernando Hernandez-Garcia (University of Alberta)
Xian Yeow Lee (Iowa State University)
Rupesh Srivastava (NNAISENSE)
Khimya Khetarpal (Mila- McGill University)
Chenjun Xiao (University of Alberta)
Luckeciano Carvalho Melo (Deep Learning Brazil)
I hold Bachelor’s and Master’s Degrees from Aeronautics Institute of Technology, in the Electronic and Computer Engineering program. I’m also Researcher at Deep Learning Brazil Research Group. My research interests lie in the general area of machine learning, particularly in reinforcement learning and applications in robotics, continuous control and multi-agent systems.
Rishabh Agarwal (Google)
My research work mainly revolves around deep reinforcement learning (RL), often with the goal of making RL methods suitable for real-world problems, and includes an outstanding paper award at NeurIPS.
Tianhe Yu (Stanford University)
Glen Berseth (University of California Berkeley)
Devendra Singh Chaplot (Carnegie Mellon University)
Jie Tang (OpenAI)
Anirudh Srinivasan (Microsoft Research)
Tharun Kumar Reddy Medini (Rice University)
I'm a 3rd year PhD student at Rice University working with Prof.Anshumali Shrivastava. I primarily work on scaling up Deep Learning using Hashing techniques. I'm currently interning at Amazon Search in Palo Alto.
Aaron Havens (University of Illinois Urbana-Champaign)
I am a first-year graduate student in Aerospace Engineering working with Prof. Girish Chowdhary on robust decision making and control. I'm interested in making intelligent systems more adaptive and guaranteeing safety.
Misha Laskin (UC Berkeley)
Asier Mujika (ETH Zurich)
Rohan Saphal (Oxford University)
Joseph Marino (California Institute of Technology)
Alex Ray (OpenAI)
Joshua Achiam (UC Berkeley, OpenAI)
Ajay Mandlekar (Stanford University)
Zhuang Liu (UC Berkeley)
Danijar Hafner (Google Brain & University of Toronto)
Zhiwen Tang (Georgetown University)
Ted Xiao (Google Brain)
Michael Walton (Space & Naval Warfare Systems Center)
Jeff Druce (Charles River Analytics)
Ferran Alet (MIT)
Zhang-Wei Hong (National Tsing Hua University)
Stephanie Chan (Google)
Anusha Nagabandi (UC Berkeley)
Hao Liu (UC Berkeley)
Hao Sun (CUHK)
Ge Liu (MIT)
Dinesh Jayaraman (UC Berkeley)
John Co-Reyes (UC Berkeley)
Interested in solving intelligence. Currently working on hierarchical reinforcement learning and learning a physical intuition of the world.
Sophia Sanborn (UC Berkeley)
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Sophia Sanborn · Nina Miolane -
2023 Poster: Epistemic Neural Networks »
Ian Osband · Zheng Wen · Seyed Mohammad Asghari · Vikranth Dwaracherla · MORTEZA IBRAHIMI · Xiuyuan Lu · Benjamin Van Roy -
2023 Poster: Offline Goal-Conditioned RL with Latent States as Actions »
Seohong Park · Dibya Ghosh · Benjamin Eysenbach · Sergey Levine -
2023 Poster: Online learning of long-range dependencies »
Nicolas Zucchet · Robert Meier · Simon Schug · Asier Mujika · Joao Sacramento -
2023 Poster: The Transient Nature of Emergent In-context Learning in Transformers »
Aaditya Singh · Stephanie Chan · Ted Moskovitz · Erin Grant · Andrew Saxe · Felix Hill -
2023 Poster: Blockwise Parallel Transformer for Large Models »
Hao Liu · Pieter Abbeel -
2023 Poster: Video Prediction Models as Rewards for Reinforcement Learning »
Alejandro Escontrela · Ademi Adeniji · Wilson Yan · Ajay Jain · Xue Bin Peng · Ken Goldberg · Youngwoon Lee · Danijar Hafner · Pieter Abbeel -
2023 Poster: Guide Your Agent with Adaptive Multimodal Rewards »
Changyeon Kim · Younggyo Seo · Hao Liu · Lisa Lee · Jinwoo Shin · Honglak Lee · Kimin Lee -
2023 Poster: Passive learning of active causal strategies in agents and language models »
Andrew Lampinen · Stephanie Chan · Ishita Dasgupta · Andrew Nam · Jane Wang -
2023 Poster: When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment »
Tianwei Ni · Michel Ma · Benjamin Eysenbach · Pierre-Luc Bacon -
2023 Poster: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models »
Ying Fan · Olivia Watkins · Yuqing Du · Hao Liu · Moonkyung Ryu · Craig Boutilier · Pieter Abbeel · Mohammad Ghavamzadeh · Kangwook Lee · Kimin Lee -
2023 Poster: Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models »
Aaron Havens · Alexandre Araujo · Siddharth Garg · Farshad Khorrami · Bin Hu -
2023 Poster: Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning »
Akhil Bagaria · Ben Abbatematteo · Omer Gottesman · Matt Corsaro · Sreehari Rammohan · George Konidaris -
2023 Competition: Train Offline, Test Online: A Democratized Robotics Benchmark »
Victoria Dean · Gaoyue Zhou · Mohan Kumar Srirama · Sudeep Dasari · Esther Brown · Marion Lepert · Paul Ruvolo · Chelsea Finn · Lerrel Pinto · Abhinav Gupta -
2023 Workshop: Symmetry and Geometry in Neural Representations »
Sophia Sanborn · Christian A Shewmake · Simone Azeglio · Nina Miolane -
2023 Workshop: New Frontiers in Graph Learning (GLFrontiers) »
Jiaxuan You · Rex Ying · Hanjun Dai · Ge Liu · Azalia Mirhoseini · Smita Krishnaswamy -
2023 Workshop: The NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning »
Benjamin Eysenbach · Ishan Durugkar · Jason Yecheng Ma · Andi Peng · Tongzhou Wang · Amy Zhang -
2023 Workshop: Agent Learning in Open-Endedness Workshop »
Minqi Jiang · Mikayel Samvelyan · Jack Parker-Holder · Mayalen Etcheverry · Yingchen Xu · Michael Dennis · Roberta Raileanu -
2022 : Kristian Hartikainen »
Kristian Hartikainen -
2022 : Danijar Hafner »
Danijar Hafner -
2022 : Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes »
Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine -
2022 Workshop: Deep Reinforcement Learning Workshop »
Karol Hausman · Qi Zhang · Matthew Taylor · Martha White · Suraj Nair · Manan Tomar · Risto Vuorio · Ted Xiao · Zeyu Zheng · Manan Tomar -
2022 Spotlight: Lightning Talks 4A-4 »
Yunhao Tang · LING LIANG · Thomas Chau · Daeha Kim · Junbiao Cui · Rui Lu · Lei Song · Byung Cheol Song · Andrew Zhao · Remi Munos · Łukasz Dudziak · Jiye Liang · Ke Xue · Kaidi Xu · Mark Rowland · Hongkai Wen · Xing Hu · Xiaobin Huang · Simon Du · Nicholas Lane · Chao Qian · Lei Deng · Bernardo Avila Pires · Gao Huang · Will Dabney · Mohamed Abdelfattah · Yuan Xie · Marc Bellemare -
2022 Spotlight: The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning »
Yunhao Tang · Remi Munos · Mark Rowland · Bernardo Avila Pires · Will Dabney · Marc Bellemare -
2022 : Seq2MSA: A Language Model for Protein Sequence Diversification »
Pascal Sturmfels · Roshan Rao · Robert Verkuil · Zeming Lin · Tom Sercu · Adam Lerer · Alex Rives -
2022 : Train Offline, Test Online: A Real Robot Learning Benchmark »
Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta -
2022 : Democratizing RL Research by Reusing Prior Computation »
Rishabh Agarwal -
2022 : Train Offline, Test Online: A Real Robot Learning Benchmark »
Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta -
2022 Workshop: Foundation Models for Decision Making »
Mengjiao (Sherry) Yang · Yilun Du · Jack Parker-Holder · Siddharth Karamcheti · Igor Mordatch · Shixiang (Shane) Gu · Ofir Nachum -
2022 Workshop: Symmetry and Geometry in Neural Representations (NeurReps) »
Sophia Sanborn · Christian A Shewmake · Simone Azeglio · Arianna Di Bernardo · Nina Miolane -
2022 : Opening Remarks »
Sophia Sanborn -
2022 : ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark »
Kanghoon Lee · Youngjoon Park · Han-Seul Jeong · Deunsol Yoon · Sunghoon Hong · Sungryull Sohn · Minu Kim · Hanbum Ko · Moontae Lee · Honglak Lee · Kyunghoon Kim · Euihyuk Kim · Seonggeon Cho · Jaesang Min · Woohyung Lim -
2022 Workshop: All Things Attention: Bridging Different Perspectives on Attention »
Abhijat Biswas · Akanksha Saran · Khimya Khetarpal · Reuben Aronson · Ruohan Zhang · Grace Lindsay · Scott Niekum -
2022 Workshop: 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad" »
Aviral Kumar · Rishabh Agarwal · Aravind Rajeswaran · Wenxuan Zhou · George Tucker · Doina Precup · Aviral Kumar -
2022 Poster: BYOL-Explore: Exploration by Bootstrapped Prediction »
Zhaohan Guo · Shantanu Thakoor · Miruna Pislar · Bernardo Avila Pires · Florent Altché · Corentin Tallec · Alaa Saade · Daniele Calandriello · Jean-Bastien Grill · Yunhao Tang · Michal Valko · Remi Munos · Mohammad Gheshlaghi Azar · Bilal Piot -
2022 Poster: Oracle Inequalities for Model Selection in Offline Reinforcement Learning »
Jonathan N Lee · George Tucker · Ofir Nachum · Bo Dai · Emma Brunskill -
2022 Poster: Palm up: Playing in the Latent Manifold for Unsupervised Pretraining »
Hao Liu · Tom Zahavy · Volodymyr Mnih · Satinder Singh -
2022 Poster: Learning Options via Compression »
Yiding Jiang · Evan Liu · Benjamin Eysenbach · J. Zico Kolter · Chelsea Finn -
2022 Poster: Chain of Thought Imitation with Procedure Cloning »
Mengjiao (Sherry) Yang · Dale Schuurmans · Pieter Abbeel · Ofir Nachum -
2022 Poster: Redeeming intrinsic rewards via constrained optimization »
Eric Chen · Zhang-Wei Hong · Joni Pajarinen · Pulkit Agrawal -
2022 Poster: Approximate Value Equivalence »
Christopher Grimm · Andre Barreto · Satinder Singh -
2022 Poster: Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress »
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare -
2022 Poster: The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning »
Yunhao Tang · Remi Munos · Mark Rowland · Bernardo Avila Pires · Will Dabney · Marc Bellemare -
2022 Poster: Multi-Game Decision Transformers »
Kuang-Huei Lee · Ofir Nachum · Mengjiao (Sherry) Yang · Lisa Lee · Daniel Freeman · Sergio Guadarrama · Ian Fischer · Winnie Xu · Eric Jang · Henryk Michalewski · Igor Mordatch -
2022 Poster: Training language models to follow instructions with human feedback »
Long Ouyang · Jeffrey Wu · Xu Jiang · Diogo Almeida · Carroll Wainwright · Pamela Mishkin · Chong Zhang · Sandhini Agarwal · Katarina Slama · Alex Ray · John Schulman · Jacob Hilton · Fraser Kelton · Luke Miller · Maddie Simens · Amanda Askell · Peter Welinder · Paul Christiano · Jan Leike · Ryan Lowe -
2022 Poster: Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms »
Paavo Parmas · Takuma Seno -
2022 Poster: Masked Autoencoding for Scalable and Generalizable Decision Making »
Fangchen Liu · Hao Liu · Aditya Grover · Pieter Abbeel -
2022 Poster: Adversarial Unlearning: Reducing Confidence Along Adversarial Directions »
Amrith Setlur · Benjamin Eysenbach · Virginia Smith · Sergey Levine -
2022 Poster: Mismatched No More: Joint Model-Policy Optimization for Model-Based RL »
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov -
2022 Poster: Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping »
Hao Sun · Lei Han · Rui Yang · Xiaoteng Ma · Jian Guo · Bolei Zhou -
2022 Poster: MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control »
Nolan Wagener · Andrey Kolobov · Felipe Vieira Frujeri · Ricky Loynd · Ching-An Cheng · Matthew Hausknecht -
2022 Poster: Uni[MASK]: Unified Inference in Sequential Decision Problems »
Micah Carroll · Orr Paradise · Jessy Lin · Raluca Georgescu · Mingfei Sun · David Bignell · Stephanie Milani · Katja Hofmann · Matthew Hausknecht · Anca Dragan · Sam Devlin -
2022 Poster: Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity »
Abhishek Gupta · Aldo Pacchiano · Yuexiang Zhai · Sham Kakade · Sergey Levine -
2022 Poster: Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters »
Kamyar Ghasemipour · Shixiang (Shane) Gu · Ofir Nachum -
2022 Poster: Distributionally Adaptive Meta Reinforcement Learning »
Anurag Ajay · Abhishek Gupta · Dibya Ghosh · Sergey Levine · Pulkit Agrawal -
2022 Poster: GriddlyJS: A Web IDE for Reinforcement Learning »
Christopher Bamford · Minqi Jiang · Mikayel Samvelyan · Tim Rocktäschel -
2022 Poster: Unsupervised Reinforcement Learning with Contrastive Intrinsic Control »
Michael Laskin · Hao Liu · Xue Bin Peng · Denis Yarats · Aravind Rajeswaran · Pieter Abbeel -
2022 Poster: The Neural Testbed: Evaluating Joint Predictions »
Ian Osband · Zheng Wen · Seyed Mohammad Asghari · Vikranth Dwaracherla · Xiuyuan Lu · MORTEZA IBRAHIMI · Dieterich Lawson · Botao Hao · Brendan O'Donoghue · Benjamin Van Roy -
2022 Poster: Contrastive Learning as Goal-Conditioned Reinforcement Learning »
Benjamin Eysenbach · Tianjun Zhang · Sergey Levine · Russ Salakhutdinov -
2022 Poster: Deep Hierarchical Planning from Pixels »
Danijar Hafner · Kuang-Huei Lee · Ian Fischer · Pieter Abbeel -
2022 Poster: Learning Robust Dynamics through Variational Sparse Gating »
Arnav Kumar Jain · Shivakanth Sujit · Shruti Joshi · Vincent Michalski · Danijar Hafner · Samira Ebrahimi Kahou -
2022 Poster: Imitating Past Successes can be Very Suboptimal »
Benjamin Eysenbach · Soumith Udatha · Russ Salakhutdinov · Sergey Levine -
2022 Poster: Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions »
Bogdan Mazoure · Ilya Kostrikov · Ofir Nachum · Jonathan Tompson -
2022 Poster: Open-Ended Reinforcement Learning with Neural Reward Functions »
Robert Meier · Asier Mujika -
2021 : Retrospective Panel »
Sergey Levine · Nando de Freitas · Emma Brunskill · Finale Doshi-Velez · Nan Jiang · Rishabh Agarwal -
2021 : Speaker Intro »
Rishabh Agarwal · Aviral Kumar -
2021 : Reinforcement Learning in Factored Action Spaces using Tensor Decompositions »
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviichuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar -
2021 : Speaker Intro »
Rishabh Agarwal · Aviral Kumar -
2021 : Contributed Talk 4: PulseRL: Enabling Offline Reinforcement Learning for Digital Marketing Systems via Conservative Q-Learning »
Luckeciano Carvalho Melo -
2021 : Contributed Talk 1: What Matters in Learning from Offline Human Demonstrations for Robot Manipulation »
Ajay Mandlekar -
2021 Workshop: Offline Reinforcement Learning »
Rishabh Agarwal · Aviral Kumar · George Tucker · Justin Fu · Nan Jiang · Doina Precup · Aviral Kumar -
2021 : Opening Remarks »
Rishabh Agarwal · Aviral Kumar -
2021 : Behavior Predictive Representations for Generalization in Reinforcement Learning »
Siddhant Agarwal · Aaron Courville · Rishabh Agarwal -
2021 Workshop: Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning? »
Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine -
2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision Q&A »
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine -
2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision »
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine -
2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision »
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine -
2021 : Benchmarking the Spectrum of Agent Capabilities Q&A »
Danijar Hafner -
2021 : Benchmarking the Spectrum of Agent Capabilities »
Danijar Hafner -
2021 : DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Q&A »
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine -
2021 : DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine -
2021 Oral: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov -
2021 Poster: Visual Adversarial Imitation Learning using Variational Models »
Rafael Rafailov · Tianhe Yu · Aravind Rajeswaran · Chelsea Finn -
2021 Poster: No RL, No Simulation: Learning to Navigate without Navigating »
Meera Hahn · Devendra Singh Chaplot · Shubham Tulsiani · Mustafa Mukadam · James Rehg · Abhinav Gupta -
2021 Poster: Discovering and Achieving Goals via World Models »
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak -
2021 Poster: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning »
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee -
2021 Poster: Robust Predictable Control »
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine -
2021 Poster: Conservative Offline Distributional Reinforcement Learning »
Jason Yecheng Ma · Dinesh Jayaraman · Osbert Bastani -
2021 Poster: Clockwork Variational Autoencoders »
Vaibhav Saxena · Jimmy Ba · Danijar Hafner -
2021 Poster: Efficiently Identifying Task Groupings for Multi-Task Learning »
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn -
2021 Poster: A Minimalist Approach to Offline Reinforcement Learning »
Scott Fujimoto · Shixiang (Shane) Gu -
2021 Poster: Which Mutual-Information Representation Learning Objectives are Sufficient for Control? »
Kate Rakelly · Abhishek Gupta · Carlos Florensa · Sergey Levine -
2021 Poster: COMBO: Conservative Offline Model-Based Policy Optimization »
Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn -
2021 : The NetHack Challenge + Q&A »
Eric Hambro · Sharada Mohanty · Dipam Chakrabroty · Edward Grefenstette · Minqi Jiang · Robert Kirk · Vitaly Kurin · Heinrich Kuttler · Vegard Mella · Nantas Nardelli · Jack Parker-Holder · Roberta Raileanu · Tim Rocktäschel · Danielle Rothermel · Mikayel Samvelyan -
2021 Poster: Mixture Proportion Estimation and PU Learning:A Modern Approach »
Saurabh Garg · Yifan Wu · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton -
2021 Poster: Bayesian Bellman Operators »
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson -
2021 Poster: Decision Transformer: Reinforcement Learning via Sequence Modeling »
Lili Chen · Kevin Lu · Aravind Rajeswaran · Kimin Lee · Aditya Grover · Misha Laskin · Pieter Abbeel · Aravind Srinivas · Igor Mordatch -
2021 Poster: Habitat 2.0: Training Home Assistants to Rearrange their Habitat »
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra -
2021 Poster: SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency »
Devendra Singh Chaplot · Murtaza Dalal · Saurabh Gupta · Jitendra Malik · Russ Salakhutdinov -
2021 Poster: Proper Value Equivalence »
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh -
2021 Poster: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov -
2021 Oral: Deep Reinforcement Learning at the Edge of the Statistical Precipice »
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare -
2021 Poster: Neural Additive Models: Interpretable Machine Learning with Neural Nets »
Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton -
2021 Poster: Understanding the Effect of Stochasticity in Policy Optimization »
Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans -
2021 Poster: Information is Power: Intrinsic Control via Information Capture »
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine -
2021 Poster: Conservative Data Sharing for Multi-Task Offline Reinforcement Learning »
Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn -
2021 Poster: No-Press Diplomacy from Scratch »
Anton Bakhtin · David Wu · Adam Lerer · Noam Brown -
2021 Poster: Reinforcement Learning with Latent Flow »
Wenling Shang · Xiaofei Wang · Aravind Srinivas · Aravind Rajeswaran · Yang Gao · Pieter Abbeel · Misha Laskin -
2021 Poster: Noether Networks: meta-learning useful conserved quantities »
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn -
2021 Poster: Temporally Abstract Partial Models »
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · Doina Precup -
2021 Poster: Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling -
2021 Poster: Deep Reinforcement Learning at the Edge of the Statistical Precipice »
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare -
2021 Poster: Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation »
Yunhao Tang · Tadashi Kozuno · Mark Rowland · Remi Munos · Michal Valko -
2021 Poster: Active Offline Policy Selection »
Ksenia Konyushova · Yutian Chen · Thomas Paine · Caglar Gulcehre · Cosmin Paduraru · Daniel Mankowitz · Misha Denil · Nando de Freitas -
2021 Poster: Behavior From the Void: Unsupervised Active Pre-Training »
Hao Liu · Pieter Abbeel -
2021 Poster: Teachable Reinforcement Learning via Advice Distillation »
Olivia Watkins · Abhishek Gupta · Trevor Darrell · Pieter Abbeel · Jacob Andreas -
2021 Poster: Autonomous Reinforcement Learning via Subgoal Curricula »
Archit Sharma · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn -
2021 Poster: Towards mental time travel: a hierarchical memory for reinforcement learning agents »
Andrew Lampinen · Stephanie Chan · Andrea Banino · Felix Hill -
2021 Poster: Dynamic Bottleneck for Robust Self-Supervised Exploration »
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang -
2021 Poster: Adaptive Risk Minimization: Learning to Adapt to Domain Shift »
Marvin Zhang · Henrik Marklund · Nikita Dhawan · Abhishek Gupta · Sergey Levine · Chelsea Finn -
2021 Poster: Provably Efficient Causal Reinforcement Learning with Confounded Observational Data »
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang -
2021 Poster: Iterative Amortized Policy Optimization »
Joseph Marino · Alexandre Piche · Alessandro Davide Ialongo · Yisong Yue -
2020 : Exploring generative atomic models in cryo-EM reconstruction »
Ellen Zhong · Adam Lerer · · Bonnie Berger -
2020 : Mini-panel discussion 3 - Prioritizing Real World RL Challenges »
Chelsea Finn · Thomas Dietterich · Angela Schoellig · Anca Dragan · Anusha Nagabandi · Doina Precup -
2020 : Contributed Talk #3: Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning »
Rishabh Agarwal · Marlos C. Machado · Pablo Samuel Castro · Marc Bellemare -
2020 : Panel »
Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar -
2020 : Spotlight Session 2 »
Augustus Odena · Kensen Shi · David Bieber · Ferran Alet · Charles Sutton · Roshni Iyer -
2020 : Learning Local Advantage Functions for Generalizable Graph Optimizations »
Yifan Wu -
2020 Workshop: Offline Reinforcement Learning »
Aviral Kumar · Rishabh Agarwal · George Tucker · Lihong Li · Doina Precup · Aviral Kumar -
2020 : Introduction »
Aviral Kumar · George Tucker · Rishabh Agarwal -
2020 Workshop: The Challenges of Real World Reinforcement Learning »
Daniel Mankowitz · Gabriel Dulac-Arnold · Shie Mannor · Omer Gottesman · Anusha Nagabandi · Doina Precup · Timothy A Mann · Gabriel Dulac-Arnold -
2020 : Ferran Alet - Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time »
Ferran Alet -
2020 : Contributed Talk #2: Evaluating Agents Without Rewards »
Brendon Matusch · Danijar Hafner · Jimmy Ba -
2020 : Panel discussion »
Pierre-Yves Oudeyer · Marc Bellemare · Peter Stone · Matt Botvinick · Susan Murphy · Anusha Nagabandi · Ashley Edwards · Karen Liu · Pieter Abbeel -
2020 : Invited talk: Anusha Nagabandi "Model-based Deep Reinforcement Learning for Robotic Systems" »
Anusha Nagabandi -
2020 : Contributed Talk: MaxEnt RL and Robust Control »
Benjamin Eysenbach · Sergey Levine -
2020 : Invited Talk - "Object- and Action-Centric Representational Robot Learning" »
Pete Florence · Daniel Seita -
2020 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Coline Devin · Misha Laskin · Kimin Lee · Janarthanan Rajendran · Vivek Veeriah -
2020 Poster: Weakly-Supervised Reinforcement Learning for Controllable Behavior »
Lisa Lee · Benjamin Eysenbach · Russ Salakhutdinov · Shixiang (Shane) Gu · Chelsea Finn -
2020 Poster: Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian »
Jack Parker-Holder · Luke Metz · Cinjon Resnick · Hengyuan Hu · Adam Lerer · Alistair Letcher · Alexander Peysakhovich · Aldo Pacchiano · Jakob Foerster -
2020 Poster: Predictive Information Accelerates Learning in RL »
Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama -
2020 Poster: Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards »
Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee -
2020 Poster: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games »
Noam Brown · Anton Bakhtin · Adam Lerer · Qucheng Gong -
2020 Poster: A Unified View of Label Shift Estimation »
Saurabh Garg · Yifan Wu · Sivaraman Balakrishnan · Zachary Lipton -
2020 Poster: Gradient Surgery for Multi-Task Learning »
Tianhe Yu · Saurabh Kumar · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn -
2020 Poster: Modern Hopfield Networks and Attention for Immune Repertoire Classification »
Michael Widrich · Bernhard Schäfl · Milena Pavlović · Hubert Ramsauer · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter · Geir Kjetil Sandve · Victor Greiff · Sepp Hochreiter · Günter Klambauer -
2020 Poster: RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning »
Caglar Gulcehre · Ziyu Wang · Alexander Novikov · Thomas Paine · Sergio Gómez · Konrad Zolna · Rishabh Agarwal · Josh Merel · Daniel Mankowitz · Cosmin Paduraru · Gabriel Dulac-Arnold · Jerry Li · Mohammad Norouzi · Matthew Hoffman · Nicolas Heess · Nando de Freitas -
2020 Spotlight: Modern Hopfield Networks and Attention for Immune Repertoire Classification »
Michael Widrich · Bernhard Schäfl · Milena Pavlović · Hubert Ramsauer · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter · Geir Kjetil Sandve · Victor Greiff · Sepp Hochreiter · Günter Klambauer -
2020 Poster: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov -
2020 Poster: Reinforcement Learning with Augmented Data »
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas -
2020 Poster: Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning »
Younggyo Seo · Kimin Lee · Ignasi Clavera Gilaberte · Thanard Kurutach · Jinwoo Shin · Pieter Abbeel -
2020 Poster: Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences »
Bowen Baker -
2020 Spotlight: Reinforcement Learning with Augmented Data »
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas -
2020 Oral: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov -
2020 Poster: Self-Imitation Learning via Generalized Lower Bound Q-learning »
Yunhao Tang -
2020 Poster: Sparse Graphical Memory for Robust Planning »
Scott Emmons · Ajay Jain · Misha Laskin · Thanard Kurutach · Pieter Abbeel · Deepak Pathak -
2020 Poster: An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay »
Scott Fujimoto · David Meger · Doina Precup -
2020 Poster: Escaping the Gravitational Pull of Softmax »
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans -
2020 Poster: The Value Equivalence Principle for Model-Based Reinforcement Learning »
Christopher Grimm · Andre Barreto · Satinder Singh · David Silver -
2020 Poster: Object Goal Navigation using Goal-Oriented Semantic Exploration »
Devendra Singh Chaplot · Dhiraj Prakashchand Gandhi · Abhinav Gupta · Russ Salakhutdinov -
2020 Poster: Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model »
Alex X. Lee · Anusha Nagabandi · Pieter Abbeel · Sergey Levine -
2020 Oral: Escaping the Gravitational Pull of Softmax »
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans -
2020 Poster: MOPO: Model-based Offline Policy Optimization »
Tianhe Yu · Garrett Thomas · Lantao Yu · Stefano Ermon · James Zou · Sergey Levine · Chelsea Finn · Tengyu Ma -
2020 Poster: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
Aviral Kumar · Abhishek Gupta · Sergey Levine -
2020 Spotlight: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
Aviral Kumar · Abhishek Gupta · Sergey Levine -
2019 : Poster Session »
Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar -
2019 : Coffee break, posters, and 1-on-1 discussions »
Julius von Kügelgen · David Rohde · Candice Schumann · Grace Charles · Victor Veitch · Vira Semenova · Mert Demirer · Vasilis Syrgkanis · Suraj Nair · Aahlad Puli · Masatoshi Uehara · Aditya Gopalan · Yi Ding · Ignavier Ng · Khashayar Khosravi · Eli Sherman · Shuxi Zeng · Aleksander Wieczorek · Hao Liu · Kyra Gan · Jason Hartford · Miruna Oprescu · Alexander D'Amour · Jörn Boehnke · Yuta Saito · Théophile Griveau-Billion · Chirag Modi · Shyngys Karimov · Jeroen Berrevoets · Logan Graham · Imke Mayer · Dhanya Sridhar · Issa Dahabreh · Alan Mishler · Duncan Wadsworth · Khizar Qureshi · Rahul Ladhania · Gota Morishita · Paul Welle -
2019 : Afternoon Coffee Break & Poster Session »
Heidi Komkov · Stanislav Fort · Zhaoyou Wang · Rose Yu · Ji Hwan Park · Samuel Schoenholz · Taoli Cheng · Ryan-Rhys Griffiths · Chase Shimmin · Surya Karthik Mukkavili · Philippe Schwaller · Christian Knoll · Yangzesheng Sun · Keiichi Kisamori · Gavin Graham · Gavin Portwood · Hsin-Yuan Huang · Paul Novello · Moritz Munchmeyer · Anna Jungbluth · Daniel Levine · Ibrahim Ayed · Steven Atkinson · Jan Hermann · Peter Grönquist · · Priyabrata Saha · Yannik Glaser · Lingge Li · Yutaro Iiyama · Rushil Anirudh · Maciej Koch-Janusz · Vikram Sundar · Francois Lanusse · Auralee Edelen · Jonas Köhler · Jacky H. T. Yip · jiadong guo · Xiangyang Ju · Adi Hanuka · Adrian Albert · Valentina Salvatelli · Mauro Verzetti · Javier Duarte · Eric Moreno · Emmanuel de Bézenac · Athanasios Vlontzos · Alok Singh · Thomas Klijnsma · Brad Neuberg · Paul Wright · Mustafa Mustafa · David Schmidt · Steven Farrell · Hao Sun -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Contributed Talk - 3 »
Adam Lerer -
2019 : Contributed Talks »
Rishabh Agarwal · Adam Gleave · Kimin Lee -
2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 : Extended Poster Session »
Travis LaCroix · Marie Ossenkopf · Mina Lee · Nicole Fitzgerald · Daniela Mihai · Jonathon Hare · Ali Zaidi · Alexander Cowen-Rivers · Alana Marzoev · Eugene Kharitonov · Luyao Yuan · Tomasz Korbak · Paul Pu Liang · Yi Ren · Roberto Dessì · Peter Potash · Shangmin Guo · Tatsunori Hashimoto · Percy Liang · Julian Zubek · Zipeng Fu · Song-Chun Zhu · Adam Lerer -
2019 : Poster Session »
Clement Canonne · Kwang-Sung Jun · Seth Neel · Di Wang · Giuseppe Vietri · Liwei Song · Jonathan Lebensold · Huanyu Zhang · Lovedeep Gondara · Ang Li · FatemehSadat Mireshghallah · Jinshuo Dong · Anand D Sarwate · Antti Koskela · Joonas Jälkö · Matt Kusner · Dingfan Chen · Mi Jung Park · Ashwin Machanavajjhala · Jayashree Kalpathy-Cramer · · Vitaly Feldman · Andrew Tomkins · Hai Phan · Hossein Esfandiari · Mimansa Jaiswal · Mrinank Sharma · Jeff Druce · Casey Meehan · Zhengli Zhao · Hsiang Hsu · Davis Railsback · Abraham Flaxman · · Julius Adebayo · Aleksandra Korolova · Jiaming Xu · Naoise Holohan · Samyadeep Basu · Matthew Joseph · My Thai · Xiaoqian Yang · Ellen Vitercik · Michael Hutchinson · Chenghong Wang · Gregory Yauney · Yuchao Tao · Chao Jin · Si Kai Lee · Audra McMillan · Rauf Izmailov · Jiayi Guo · Siddharth Swaroop · Tribhuvanesh Orekondy · Hadi Esmaeilzadeh · Kevin Procopio · Alkis Polyzotis · Jafar Mohammadi · Nitin Agrawal -
2019 : Contributed Talks »
Kevin Lu · Matthew Hausknecht · Ofir Nachum -
2019 : Break / Poster Session 1 »
Antonia Marcu · Yao-Yuan Yang · Pascale Gourdeau · Chen Zhu · Thodoris Lykouris · Jianfeng Chi · Mark Kozdoba · Arjun Nitin Bhagoji · Xiaoxia Wu · Jay Nandy · Michael T Smith · Bingyang Wen · Yuege Xie · Konstantinos Pitas · Suprosanna Shit · Maksym Andriushchenko · Dingli Yu · Gaël Letarte · Misha Khodak · Hussein Mozannar · Chara Podimata · James Foulds · Yizhen Wang · Huishuai Zhang · Ondrej Kuzelka · Alexander Levine · Nan Lu · Zakaria Mhammedi · Paul Viallard · Diana Cai · Lovedeep Gondara · James Lucas · Yasaman Mahdaviyeh · Aristide Baratin · Rishi Bommasani · Alessandro Barp · Andrew Ilyas · Kaiwen Wu · Jens Behrmann · Omar Rivasplata · Amir Nazemi · Aditi Raghunathan · Will Stephenson · Sahil Singla · Akhil Gupta · YooJung Choi · Yannic Kilcher · Clare Lyle · Edoardo Manino · Andrew Bennett · Zhi Xu · Niladri Chatterji · Emre Barut · Flavien Prost · Rodrigo Toro Icarte · Arno Blaas · Chulhee Yun · Sahin Lale · YiDing Jiang · Tharun Kumar Reddy Medini · Ashkan Rezaei · Alexander Meinke · Stephen Mell · Gary Kazantsev · Shivam Garg · Aradhana Sinha · Vishnu Lokhande · Geovani Rizk · Han Zhao · Aditya Kumar Akash · Jikai Hou · Ali Ghodsi · Matthias Hein · Tyler Sypherd · Yichen Yang · Anastasia Pentina · Pierre Gillot · Antoine Ledent · Guy Gur-Ari · Noah MacAulay · Tianzong Zhang -
2019 : Coffee Break + Poster Session I »
Wei-Hung Weng · Simon Kohl · Aiham Taleb · Arijit Patra · Khashayar Namdar · Matthias Perkonigg · Shizhan Gong · Abdullah-Al-Zubaer Imran · Amir Abdi · Ilja Manakov · Johannes C. Paetzold · Ben Glocker · Dushyant Sahoo · Shreyas Fadnavis · Karsten Roth · Xueqing Liu · Yifan Zhang · Alexander Preuhs · Fabian Eitel · Anusua Trivedi · Tomer Weiss · Darko Stern · Liset Vazquez Romaguera · Johannes Hofmanninger · Aakash Kaku · Oloruntobiloba Olatunji · Anastasia Razdaibiedina · Tao Zhang -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 : Contributed Talks »
Jie Tang · Yijie Guo · Danijar Hafner -
2019 : Welcome »
Rowan McAllister · Nicholas Rhinehart · Li Erran Li -
2019 Workshop: Machine Learning for Autonomous Driving »
Rowan McAllister · Nicholas Rhinehart · Fisher Yu · Li Erran Li · Anca Dragan -
2019 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah -
2019 : Poster Session »
Gergely Flamich · Shashanka Ubaru · Charles Zheng · Josip Djolonga · Kristoffer Wickstrøm · Diego Granziol · Konstantinos Pitas · Jun Li · Robert Williamson · Sangwoong Yoon · Kwot Sin Lee · Julian Zilly · Linda Petrini · Ian Fischer · Zhe Dong · Alexander Alemi · Bao-Ngoc Nguyen · Rob Brekelmans · Tailin Wu · Aditya Mahajan · Alexander Li · Kirankumar Shiragur · Yair Carmon · Linara Adilova · SHIYU LIU · Bang An · Sanjeeb Dash · Oktay Gunluk · Arya Mazumdar · Mehul Motani · Julia Rosenzweig · Michael Kamp · Marton Havasi · Leighton P Barnes · Zhengqing Zhou · Yi Hao · Dylan Foster · Yuval Benjamini · Nati Srebro · Michael Tschannen · Paul Rubenstein · Sylvain Gelly · John Duchi · Aaron Sidford · Robin Ru · Stefan Zohren · Murtaza Dalal · Michael A Osborne · Stephen J Roberts · Moses Charikar · Jayakumar Subramanian · Xiaodi Fan · Max Schwarzer · Nicholas Roberts · Simon Lacoste-Julien · Vinay Prabhu · Aram Galstyan · Greg Ver Steeg · Lalitha Sankar · Yung-Kyun Noh · Gautam Dasarathy · Frank Park · Ngai-Man (Man) Cheung · Ngoc-Trung Tran · Linxiao Yang · Ben Poole · Andrea Censi · Tristan Sylvain · R Devon Hjelm · Bangjie Liu · Jose Gallego-Posada · Tyler Sypherd · Kai Yang · Jan Nikolas Morshuis -
2019 : Coffee/Poster session 2 »
Xingyou Song · Puneet Mangla · David Salinas · Zhenxun Zhuang · Leo Feng · Shell Xu Hu · Raul Puri · Wesley Maddox · Aniruddh Raghu · Prudencio Tossou · Mingzhang Yin · Ishita Dasgupta · Kangwook Lee · Ferran Alet · Zhen Xu · Jörg Franke · James Harrison · Jonathan Warrell · Guneet Dhillon · Arber Zela · Xin Qiu · Julien Niklas Siems · Russell Mendonca · Louis Schlessinger · Jeffrey Li · Georgiana Manolache · Debojyoti Dutta · Lucas Glass · Abhishek Singh · Gregor Koehler -
2019 : Contributed Talk: LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games »
Leonard Adolphs -
2019 : Q&A from the Audience. Ask the Grad Students »
Erin Grant · Ruairidh Battleday · Sophia Sanborn · Nadine Chang · Nikhil Parthasarathy -
2019 : Posters »
Colin Graber · Yuan-Ting Hu · Tiantian Fang · Jessica Hamrick · Giorgio Giannone · John Co-Reyes · Boyang Deng · Eric Crawford · Andrea Dittadi · Peter Karkus · Matthew Dirks · Rakshit Trivedi · Sunny Raj · Javier Felip Leon · Harris Chan · Jan Chorowski · Jeff Orchard · Aleksandar Stanić · Adam Kortylewski · Ben Zinberg · Chenghui Zhou · Wei Sun · Vikash Mansinghka · Chun-Liang Li · Marco Cusumano-Towner -
2019 : Catered Lunch and Poster Viewing (in Workshop Room) »
Gustavo Stolovitzky · Prabhu Pradhan · Pablo Duboue · Zhiwen Tang · Aleksei Natekin · Elizabeth Bondi-Kelly · Xavier Bouthillier · Stephanie Milani · Heimo Müller · Andreas T. Holzinger · Stefan Harrer · Ben Day · Andrey Ustyuzhanin · William Guss · Mahtab Mirmomeni -
2019 : Poster Session »
Rishav Chourasia · Yichong Xu · Corinna Cortes · Chien-Yi Chang · Yoshihiro Nagano · So Yeon Min · Benedikt Boecking · Phi Vu Tran · Kamyar Ghasemipour · Qianggang Ding · Shouvik Mani · Vikram Voleti · Rasool Fakoor · Miao Xu · Kenneth Marino · Lisa Lee · Volker Tresp · Jean-Francois Kagy · Marvin Zhang · Barnabas Poczos · Dinesh Khandelwal · Adrien Bardes · Evan Shelhamer · Jiacheng Zhu · Ziming Li · Xiaoyan Li · Dmitrii Krasheninnikov · Ruohan Wang · Mayoore Jaiswal · Emad Barsoum · Suvansh Sanjeev · Theeraphol Wattanavekin · Qizhe Xie · Sifan Wu · Yuki Yoshida · David Kanaa · Sina Khoshfetrat Pakazad · Mehdi Maasoumy -
2019 : Poster Session #1 »
Adarsh Jamadandi · Sophia Sanborn · Huaxiu Yao · Chen Cai · Yu Chen · Jean-Marc Andreoli · Niklas Stoehr · Shih-Yang Su · Tony Duan · Fábio Ferreira · Davide Belli · Amit Boyarski · Ze Ye · Elahe Ghalebi · Arindam Sarkar · MAHMOUD KHADEMI · Evgeniy Faerman · Joey Bose · Jiaqi Ma · Lin Meng · Seyed Mehran Kazemi · Guangtao Wang · Tong Wu · Yuexin Wu · Chaitanya K. Joshi · Marc Brockschmidt · Daniele Zambon · Colin Graber · Rafaël Van Belle · Osman Asif Malik · Xavier Glorot · Mario Krenn · Chris Cameron · Binxuan Huang · George Stoica · Alexia Toumpa -
2019 : Coffee/Poster session 1 »
Shiro Takagi · Khurram Javed · Johanna Sommer · Amr Sharaf · Pierluca D'Oro · Ying Wei · Sivan Doveh · Colin White · Santiago Gonzalez · Cuong Nguyen · Mao Li · Tianhe Yu · Tiago Ramalho · Masahiro Nomura · Ahsan Alvi · Jean-Francois Ton · W. Ronny Huang · Jessica Lee · Sebastian Flennerhag · Michael Zhang · Abram Friesen · Paul Blomstedt · Alina Dubatovka · Sergey Bartunov · Subin Yi · Iaroslav Shcherbatyi · Christian Simon · Zeyuan Shang · David MacLeod · Lu Liu · Liam Fowl · Diego Mesquita · Deirdre Quillen -
2019 : Poster Session »
Eduard Gorbunov · Alexandre d'Aspremont · Lingxiao Wang · Liwei Wang · Boris Ginsburg · Alessio Quaglino · Camille Castera · Saurabh Adya · Diego Granziol · Rudrajit Das · Raghu Bollapragada · Fabian Pedregosa · Martin Takac · Majid Jahani · Sai Praneeth Karimireddy · Hilal Asi · Balint Daroczy · Leonard Adolphs · Aditya Rawal · Nicolas Brandt · Minhan Li · Giuseppe Ughi · Orlando Romero · Ivan Skorokhodov · Damien Scieur · Kiwook Bae · Konstantin Mishchenko · Rohan Anil · Vatsal Sharan · Aditya Balu · Chao Chen · Zhewei Yao · Tolga Ergen · Paul Grigas · Chris Junchi Li · Jimmy Ba · Stephen J Roberts · Sharan Vaswani · Armin Eftekhari · Chhavi Sharma -
2019 : Coffee Break & Poster Session »
Samia Mohinta · Andrea Agostinelli · Alexandra Moringen · Jee Hang Lee · Yat Long Lo · Wolfgang Maass · Blue Sheffer · Colin Bredenberg · Benjamin Eysenbach · Liyu Xia · Efstratios Markou · Jan Lichtenberg · Pierre Richemond · Tony Zhang · JB Lanier · Baihan Lin · William Fedus · Glen Berseth · Marta Sarrico · Matthew Crosby · Stephen McAleer · Sina Ghiassian · Franz Scherr · Guillaume Bellec · Darjan Salaj · Arinbjörn Kolbeinsson · Matthew Rosenberg · Jaehoon Shin · Sang Wan Lee · Guillermo Cecchi · Irina Rish · Elias Hajek -
2019 : Poster session »
Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak -
2019 : Poster Session »
Ahana Ghosh · Javad Shafiee · Akhilan Boopathy · Alex Tamkin · Theodoros Vasiloudis · Vedant Nanda · Ali Baheri · Paul Fieguth · Andrew Bennett · Guanya Shi · Hao Liu · Arushi Jain · Jacob Tyo · Benjie Wang · Boxiao Chen · Carroll Wainwright · Chandramouli Shama Sastry · Chao Tang · Daniel S. Brown · David Inouye · David Venuto · Dhruv Ramani · Dimitrios Diochnos · Divyam Madaan · Dmitrii Krashenikov · Joel Oren · Doyup Lee · Eleanor Quint · elmira amirloo · Matteo Pirotta · Gavin Hartnett · Geoffroy Dubourg-Felonneau · Gokul Swamy · Pin-Yu Chen · Ilija Bogunovic · Jason Carter · Javier Garcia-Barcos · Jeet Mohapatra · Jesse Zhang · Jian Qian · John Martin · Oliver Richter · Federico Zaiter · Tsui-Wei Weng · Karthik Abinav Sankararaman · Kyriakos Polymenakos · Lan Hoang · mahdieh abbasi · Marco Gallieri · Mathieu Seurin · Matteo Papini · Matteo Turchetta · Matthew Sotoudeh · Mehrdad Hosseinzadeh · Nathan Fulton · Masatoshi Uehara · Niranjani Prasad · Oana-Maria Camburu · Patrik Kolaric · Philipp Renz · Prateek Jaiswal · Reazul Hasan Russel · Riashat Islam · Rishabh Agarwal · Alexander Aldrick · Sachin Vernekar · Sahin Lale · Sai Kiran Narayanaswami · Samuel Daulton · Sanjam Garg · Sebastian East · Shun Zhang · Soheil Dsidbari · Justin Goodwin · Victoria Krakovna · Wenhao Luo · Wesley Chung · Yuanyuan Shi · Yuh-Shyang Wang · Hongwei Jin · Ziping Xu -
2019 Workshop: Learning with Rich Experience: Integration of Learning Paradigms »
Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing -
2019 Workshop: Meta-Learning »
Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang -
2019 Poster: PyTorch: An Imperative Style, High-Performance Deep Learning Library »
Adam Paszke · Sam Gross · Francisco Massa · Adam Lerer · James Bradbury · Gregory Chanan · Trevor Killeen · Zeming Lin · Natalia Gimelshein · Luca Antiga · Alban Desmaison · Andreas Kopf · Edward Yang · Zachary DeVito · Martin Raison · Alykhan Tejani · Sasank Chilamkurthy · Benoit Steiner · Lu Fang · Junjie Bai · Soumith Chintala -
2019 Poster: Distributional Policy Optimization: An Alternative Approach for Continuous Control »
Chen Tessler · Guy Tennenholtz · Shie Mannor -
2019 Poster: Maximum Entropy Monte-Carlo Planning »
Chenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller -
2019 Poster: Statistical-Computational Tradeoff in Single Index Models »
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang -
2019 Poster: Search on the Replay Buffer: Bridging Planning and Reinforcement Learning »
Benjamin Eysenbach · Russ Salakhutdinov · Sergey Levine -
2019 Poster: MAVEN: Multi-Agent Variational Exploration »
Anuj Mahajan · Tabish Rashid · Mikayel Samvelyan · Shimon Whiteson -
2019 Poster: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization »
Krzysztof M Choromanski · Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Vikas Sindhwani -
2019 Poster: Meta-Inverse Reinforcement Learning with Probabilistic Context Variables »
Lantao Yu · Tianhe Yu · Chelsea Finn · Stefano Ermon -
2019 Poster: Neural Relational Inference with Fast Modular Meta-learning »
Ferran Alet · Erica Weng · Tomás Lozano-Pérez · Leslie Kaelbling -
2019 Poster: Bayesian Layers: A Module for Neural Network Uncertainty »
Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner -
2019 Poster: Unsupervised Curricula for Visual Meta-Reinforcement Learning »
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn -
2019 Poster: Policy Continuation with Hindsight Inverse Dynamics »
Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin -
2019 Spotlight: Policy Continuation with Hindsight Inverse Dynamics »
Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin -
2019 Spotlight: Unsupervised Curricula for Visual Meta-Reinforcement Learning »
Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn -
2019 Poster: Robust Multi-agent Counterfactual Prediction »
Alexander Peysakhovich · Christian Kroer · Adam Lerer -
2019 Poster: Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products »
Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava -
2019 Poster: Guided Meta-Policy Search »
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2019 Spotlight: Guided Meta-Policy Search »
Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn -
2019 Poster: Game Design for Eliciting Distinguishable Behavior »
Fan Yang · Liu Leqi · Yifan Wu · Zachary Lipton · Pradeep Ravikumar · Tom M Mitchell · William Cohen -
2018 : Deep Imitative Models for Flexible Inference, Planning, and Control (Nicholas Rhinehart) »
Nicholas Rhinehart -
2018 : Contributed Talks »
Nicholas Rhinehart · Amar Shah -
2018 : Poster Session 1 »
Kyle H Ambert · Brandon Araki · Xiya Cao · Sungjoon Choi · Hao(Jackson) Cui · Jonas Degrave · Yaqi Duan · Mattie Fellows · Carlos Florensa · Karan Goel · Aditya Gopalan · Ming-Xu Huang · Jonathan Hunt · Cyril Ibrahim · Brian Ichter · Maximilian Igl · Zheng Tracy Ke · Igor Kiselev · Anuj Mahajan · Arash Mehrjou · Karl Pertsch · Alexandre Piche · Nicholas Rhinehart · Thomas Ringstrom · Reazul Hasan Russel · Oleh Rybkin · Ion Stoica · Sharad Vikram · Angelina Wang · Ting-Han Wei · Abigail H Wen · I-Chen Wu · Zhengwei Wu · Linhai Xie · Dinghan Shen -
2018 : Spotlights 1 »
Ming-Xu Huang · Hao(Jackson) Cui · Arash Mehrjou · Yaqi Duan · Sharad Vikram · Angelina Wang · Karan Goel · Jonathan Hunt · Zhengwei Wu · Dinghan Shen · Mattie Fellows -
2018 : Learning to Learn from Imperfect Demonstrations »
Ge Yang · Chelsea Finn -
2018 : Poster Session (All Posters) »
Artemiy Margaritov · Ravichandra Addanki · Hamidreza Mahyar · GUO ZHANG · avani wildani · Hadi Esmaeilzadeh · Dmitrii Ustiugov · Shaileshh Bojja Venkatakrishnan · Fabian Ruffy Varga · adit bhardwaj · Tatiana Shpeisman -
2018 : ProMP: Proximal Meta-Policy Search »
Ignasi Clavera Gilaberte -
2018 : Learning to Adapt in Dynamic, Real-World Environments via Meta-Reinforcement Learning »
Anusha Nagabandi -
2018 : Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL »
Anusha Nagabandi -
2018 : Poster Session 1 + Coffee »
Tom Van de Wiele · Rui Zhao · J. Fernando Hernandez-Garcia · Fabio Pardo · Xian Yeow Lee · Xiaolin Andy Li · Marcin Andrychowicz · Jie Tang · Suraj Nair · Juhyeon Lee · Cédric Colas · S. M. Ali Eslami · Yen-Chen Wu · Stephen McAleer · Ryan Julian · Yang Xue · Matthia Sabatelli · Pranav Shyam · Alexandros Kalousis · Giovanni Montana · Emanuele Pesce · Felix Leibfried · Zhanpeng He · Chunxiao Liu · Yanjun Li · Yoshihide Sawada · Alexander Pashevich · Tejas Kulkarni · Keiran Paster · Luca Rigazio · Quan Vuong · Hyunggon Park · Minhae Kwon · Rivindu Weerasekera · Shamane Siriwardhanaa · Rui Wang · Ozsel Kilinc · Keith Ross · Yizhou Wang · Simon Schmitt · Thomas Anthony · Evan Cater · Forest Agostinelli · Tegg Sung · Shirou Maruyama · Alexander Shmakov · Devin Schwab · Mohammad Firouzi · Glen Berseth · Denis Osipychev · Jesse Farebrother · Jianlan Luo · William Agnew · Peter Vrancx · Jonathan Heek · Catalin Ionescu · Haiyan Yin · Megumi Miyashita · Nathan Jay · Noga H. Rotman · Sam Leroux · Shaileshh Bojja Venkatakrishnan · Henri Schmidt · Jack Terwilliger · Ishan Durugkar · Jonathan Sauder · David Kas · Arash Tavakoli · Alain-Sam Cohen · Philip Bontrager · Adam Lerer · Thomas Paine · Ahmed Khalifa · Ruben Rodriguez · Avi Singh · Yiming Zhang -
2018 : Poster Sessions and Lunch (Provided) »
Akira Utsumi · Alane Suhr · Ji Zhang · Ramon Sanabria · Kushal Kafle · Nicholas Chen · Seung Wook Kim · Aishwarya Agrawal · SRI HARSHA DUMPALA · Shikhar Murty · Pablo Azagra · Jean ROUAT · Alaaeldin Ali · · SUBBAREDDY OOTA · Angela Lin · Shruti Palaskar · Farley Lai · Amir Aly · Tingke Shen · Dianqi Li · Jianguo Zhang · Rita Kuznetsova · Jinwon An · Jean-Benoit Delbrouck · Tomasz Kornuta · Syed Ashar Javed · Christopher Davis · John Co-Reyes · Vasu Sharma · Sungwon Lyu · Ning Xie · Ankita Kalra · Huan Ling · Oleksandr Maksymets · Bhavana Mahendra Jain · Shun-Po Chuang · Sanyam Agarwal · Jerome Abdelnour · Yufei Feng · vincent albouy · Siddharth Karamcheti · Derek Doran · Roberta Raileanu · Jonathan Heek -
2018 : Coffee Break 1 (Posters) »
Ananya Kumar · Siyu Huang · Huazhe Xu · Michael Janner · Parth Chadha · Nils Thuerey · Peter Lu · Maria Bauza · Anthony Tompkins · Guanya Shi · Thomas Baumeister · André Ofner · Zhi-Qi Cheng · Yuping Luo · Deepika Bablani · Jeroen Vanbaar · Kartic Subr · Tatiana López-Guevara · Devesh Jha · Fabian Fuchs · Stefano Rosa · Alison Pouplin · Alex Ray · Qi Liu · Eric Crawford -
2018 : Coffee Break and Poster Session I »
Pim de Haan · Bin Wang · Dequan Wang · Aadil Hayat · Ibrahim Sobh · Muhammad Asif Rana · Thibault Buhet · Nicholas Rhinehart · Arjun Sharma · Alex Bewley · Michael Kelly · Lionel Blondé · Ozgur S. Oguz · Vaibhav Viswanathan · Jeroen Vanbaar · Konrad Żołna · Negar Rostamzadeh · Rowan McAllister · Sanjay Thakur · Alexandros Kalousis · Chelsea Sidrane · Sujoy Paul · Daphne Chen · Michal Garmulewicz · Henryk Michalewski · Coline Devin · Hongyu Ren · Jiaming Song · Wen Sun · Hanzhang Hu · Wulong Liu · Emilie Wirbel -
2018 : Poster Session 1 »
Stefan Gadatsch · Danil Kuzin · Navneet Kumar · Patrick Dallaire · Tom Ryder · Remus-Petru Pop · Nathan Hunt · Adam Kortylewski · Sophie Burkhardt · Mahmoud Elnaggar · Dieterich Lawson · Yifeng Li · Jongha (Jon) Ryu · Juhan Bae · Micha Livne · Tim Pearce · Mariia Vladimirova · Jason Ramapuram · Jiaming Zeng · Xinyu Hu · Jiawei He · Danielle Maddix · Arunesh Mittal · Albert Shaw · Tuan Anh Le · Alexander Sagel · Lisha Chen · Victor Gallego · Mahdi Karami · Zihao Zhang · Tal Kachman · Noah Weber · Matt Benatan · Kumar K Sricharan · Vincent Cartillier · Ivan Ovinnikov · Buu Phan · Mahmoud Hossam · Liu Ziyin · Valerii Kharitonov · Eugene Golikov · Qiang Zhang · Jae Myung Kim · Sebastian Farquhar · Jishnu Mukhoti · Xu Hu · Gregory Gundersen · Lavanya Sita Tekumalla · Paris Perdikaris · Ershad Banijamali · Siddhartha Jain · Ge Liu · Martin Gottwald · Katy Blumer · Sukmin Yun · Ranganath Krishnan · Roman Novak · Yilun Du · Yu Gong · Beliz Gokkaya · Jessica Ai · Daniel Duckworth · Johannes von Oswald · Christian Henning · Louis-Philippe Morency · Ali Ghodsi · Mahesh Subedar · Jean-Pascal Pfister · Rémi Lebret · Chao Ma · Aleksander Wieczorek · Laurence Perreault Levasseur -
2018 : Rethinking the Value of Network Pruning »
Zhuang Liu -
2018 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · David Silver · Satinder Singh · Joelle Pineau · Joshua Achiam · Rein Houthooft · Aravind Srinivas -
2018 Poster: Approximating Real-Time Recurrent Learning with Random Kronecker Factors »
Asier Mujika · Florian Meier · Angelika Steger -
2018 Poster: A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks »
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin -
2018 Poster: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee -
2018 Oral: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee -
2018 Spotlight: A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks »
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin -
2018 Poster: Variational Inference with Tail-adaptive f-Divergence »
Dilin Wang · Hao Liu · Qiang Liu -
2018 Poster: Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies »
Sungryull Sohn · Junhyuk Oh · Honglak Lee -
2018 Oral: Variational Inference with Tail-adaptive f-Divergence »
Dilin Wang · Hao Liu · Qiang Liu -
2018 Poster: Playing hard exploration games by watching YouTube »
Yusuf Aytar · Tobias Pfaff · David Budden · Thomas Paine · Ziyu Wang · Nando de Freitas -
2018 Poster: Scalable Coordinated Exploration in Concurrent Reinforcement Learning »
Maria Dimakopoulou · Ian Osband · Benjamin Van Roy -
2018 Poster: Meta-Reinforcement Learning of Structured Exploration Strategies »
Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine -
2018 Poster: Randomized Prior Functions for Deep Reinforcement Learning »
Ian Osband · John Aslanides · Albin Cassirer -
2018 Poster: Learning Plannable Representations with Causal InfoGAN »
Thanard Kurutach · Aviv Tamar · Ge Yang · Stuart Russell · Pieter Abbeel -
2018 Poster: Visual Reinforcement Learning with Imagined Goals »
Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine -
2018 Poster: Online Robust Policy Learning in the Presence of Unknown Adversaries »
Aaron Havens · Zhanhong Jiang · Soumik Sarkar -
2018 Poster: Total stochastic gradient algorithms and applications in reinforcement learning »
Paavo Parmas -
2018 Poster: Diversity-Driven Exploration Strategy for Deep Reinforcement Learning »
Zhang-Wei Hong · Tzu-Yun Shann · Shih-Yang Su · Yi-Hsiang Chang · Tsu-Jui Fu · Chun-Yi Lee -
2018 Spotlight: Playing hard exploration games by watching YouTube »
Yusuf Aytar · Tobias Pfaff · David Budden · Thomas Paine · Ziyu Wang · Nando de Freitas -
2018 Spotlight: Randomized Prior Functions for Deep Reinforcement Learning »
Ian Osband · John Aslanides · Albin Cassirer -
2018 Spotlight: Visual Reinforcement Learning with Imagined Goals »
Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine -
2018 Spotlight: Meta-Reinforcement Learning of Structured Exploration Strategies »
Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine -
2018 Poster: Adversarial Text Generation via Feature-Mover's Distance »
Liqun Chen · Shuyang Dai · Chenyang Tao · Haichao Zhang · Zhe Gan · Dinghan Shen · Yizhe Zhang · Guoyin Wang · Dinghan Shen · Lawrence Carin -
2018 Poster: Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation »
Edward Smith · Scott Fujimoto · David Meger -
2018 Poster: Learning to Specialize with Knowledge Distillation for Visual Question Answering »
Jonghwan Mun · Kimin Lee · Jinwoo Shin · Bohyung Han -
2018 Poster: Are GANs Created Equal? A Large-Scale Study »
Mario Lucic · Karol Kurach · Marcin Michalski · Sylvain Gelly · Olivier Bousquet -
2018 Poster: A General Method for Amortizing Variational Filtering »
Joseph Marino · Milan Cvitkovic · Yisong Yue -
2018 Poster: The Importance of Sampling inMeta-Reinforcement Learning »
Bradly Stadie · Ge Yang · Rein Houthooft · Peter Chen · Yan Duan · Yuhuai Wu · Pieter Abbeel · Ilya Sutskever -
2017 : Poster Session »
David Abel · Nicholas Denis · Maria Eckstein · Ronan Fruit · Karan Goel · Joshua Gruenstein · Anna Harutyunyan · Martin Klissarov · Xiangyu Kong · Aviral Kumar · Saurabh Kumar · Miao Liu · Daniel McNamee · Shayegan Omidshafiei · Silviu Pitis · Paulo Rauber · Melrose Roderick · Tianmin Shu · Yizhou Wang · Shangtong Zhang -
2017 : Poster session »
Xun Zheng · Tim G. J. Rudner · Christopher Tegho · Patrick McClure · Yunhao Tang · ASHWIN D'CRUZ · Juan Camilo Gamboa Higuera · Chandra Sekhar Seelamantula · Jhosimar Arias Figueroa · Andrew Berlin · Maxime Voisin · Alexander Amini · Thang Long Doan · Hengyuan Hu · Aleksandar Botev · Niko Suenderhauf · CHI ZHANG · John Lambert -
2017 : Spotlights & Poster Session »
David Abel · Nicholas Denis · Maria Eckstein · Ronan Fruit · Karan Goel · Joshua Gruenstein · Anna Harutyunyan · Martin Klissarov · Xiangyu Kong · Aviral Kumar · Saurabh Kumar · Miao Liu · Daniel McNamee · Shayegan Omidshafiei · Silviu Pitis · Paulo Rauber · Melrose Roderick · Tianmin Shu · Yizhou Wang · Shangtong Zhang -
2017 : Poster session »
Uwe Naumann · Lane Schwartz · Richard Wei · Eric Meissner · Jeff Druce · Zeming Lin · Alex Pothen · Edward Yang -
2017 Workshop: Deep Learning at Supercomputer Scale »
Erich Elsen · Danijar Hafner · Zak Stone · Brennan Saeta -
2017 : Posters and Coffee »
Jean-Baptiste Tristan · Yunseong Lee · Anna Veronika Dorogush · Shohei Hido · Michael Terry · Mennatullah Siam · Hidemoto Nakada · Cody Coleman · Jung-Woo Ha · Hao Zhang · Adam Stooke · Chen Meng · Christopher Kappler · Lane Schwartz · Christopher Olston · Sebastian Schelter · Minmin Sun · Daniel Kang · Waldemar Hummer · Jichan Chung · Tim Kraska · Kannan Ramchandran · Nick Hynes · Christoph Boden · Donghyun Kwak -
2017 Poster: EX2: Exploration with Exemplar Models for Deep Reinforcement Learning »
Justin Fu · John Co-Reyes · Sergey Levine -
2017 Poster: #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning »
Haoran Tang · Rein Houthooft · Davis Foote · Adam Stooke · OpenAI Xi Chen · Yan Duan · John Schulman · Filip DeTurck · Pieter Abbeel -
2017 Poster: Bridging the Gap Between Value and Policy Based Reinforcement Learning »
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans -
2017 Spotlight: EX2: Exploration with Exemplar Models for Deep Reinforcement Learning »
Justin Fu · John Co-Reyes · Sergey Levine -
2017 Demonstration: Deep Robotic Learning using Visual Imagination and Meta-Learning »
Chelsea Finn · Frederik Ebert · Tianhe Yu · Annie Xie · Sudeep Dasari · Pieter Abbeel · Sergey Levine -
2017 Poster: Predictive-State Decoders: Encoding the Future into Recurrent Networks »
Arun Venkatraman · Nicholas Rhinehart · Wen Sun · Lerrel Pinto · Martial Hebert · Byron Boots · Kris Kitani · J. Bagnell -
2017 Poster: Hindsight Experience Replay »
Marcin Andrychowicz · Filip Wolski · Alex Ray · Jonas Schneider · Rachel Fong · Peter Welinder · Bob McGrew · Josh Tobin · OpenAI Pieter Abbeel · Wojciech Zaremba -
2017 Poster: Learning Hierarchical Information Flow with Recurrent Neural Modules »
Danijar Hafner · Alexander Irpan · James Davidson · Nicolas Heess -
2016 Workshop: Intuitive Physics »
Adam Lerer · Jiajun Wu · Josh Tenenbaum · Emmanuel Dupoux · Rob Fergus -
2016 Poster: Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision »
Xinchen Yan · Jimei Yang · Ersin Yumer · Yijie Guo · Honglak Lee -
2016 Poster: Learning to Poke by Poking: Experiential Learning of Intuitive Physics »
Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine -
2016 Oral: Learning to Poke by Poking: Experiential Learning of Intuitive Physics »
Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine -
2016 Poster: Deep Exploration via Bootstrapped DQN »
Ian Osband · Charles Blundell · Alexander Pritzel · Benjamin Van Roy -
2014 Poster: Near-optimal Reinforcement Learning in Factored MDPs »
Ian Osband · Benjamin Van Roy -
2014 Spotlight: Near-optimal Reinforcement Learning in Factored MDPs »
Ian Osband · Benjamin Van Roy -
2014 Poster: Model-based Reinforcement Learning and the Eluder Dimension »
Ian Osband · Benjamin Van Roy -
2013 Poster: (More) Efficient Reinforcement Learning via Posterior Sampling »
Ian Osband · Daniel Russo · Benjamin Van Roy