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Author Information
Pim de Haan (University of Amsterdam, visiting at UC Berkeley)
Bin Wang (Huawei Noah's Ark Lab)
Dequan Wang (UC Berkeley)
Aadil Hayat (Indian Institute of Technology Kanpur)
Master Student of Computer Science Department of IIT Kanpur
Ibrahim Sobh (Valeo)
Muhammad Asif Rana (Georgia Institute of Technology)
Thibault Buhet (Valeo)
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.
Arjun Sharma (Carnegie Mellon University)
Alex Bewley (Wayve)
Michael Kelly (Stanford)
Lionel Blondé (University of Geneva)
Ozgur S. Oguz (TUM)
Vaibhav Viswanathan (Carnegie Mellon University)
Jeroen Vanbaar (Mitsubishi Electric Research Laboratories)
Konrad Żołna (Element AI, Jagiellonian University)
Negar Rostamzadeh (Elemenet AI)
Rowan McAllister (UC Berkeley)
Sanjay Thakur (McGill University)
Alexandros Kalousis (University of Applied Sciences, Western Switzerland)
Chelsea Sidrane (Stanford University)
Sujoy Paul (UC Riverside)
Daphne Chen (Georgia Institute of Technology)
Michal Garmulewicz (University of Warsaw)
PhD Student University of Warsaw
Henryk Michalewski (University of Warsaw, University of Oxford, deepsense.ai)
Coline Devin (UC Berkeley)
Hongyu Ren (Stanford University)
Jiaming Song (Stanford University)
Wen Sun (Carnegie Mellon University)
Hanzhang Hu (Carnegie Mellon University)
Wulong Liu (Huawei Noah's Ark Lab)
Emilie Wirbel (Valeo)
More from the Same Authors
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2020 : Poster #1 »
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2020 : Paper 45: A Comprehensive Study on the Application of Structured Pruning methods in Autonomous Vehicles »
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2021 : StarCraft II Unplugged: Large Scale Offline Reinforcement Learning »
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2021 : Off-Policy Correction For Multi-Agent Reinforcement Learning »
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2022 : Deconfounded Imitation Learning »
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2023 Workshop: 6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models »
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2023 Competition: Foundation Model Prompting for Medical Image Classification Challenge 2023 »
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2022 Workshop: 5th Robot Learning Workshop: Trustworthy Robotics »
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2022 : Link-level Track: Intro »
Hongyu Ren -
2022 Competition: OGB-LSC 2022: A Large-Scale Challenge for ML on Graphs »
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2022 Spotlight: DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning »
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2022 Spotlight: Lightning Talks 5A-1 »
Yao Mu · Jin Zhang · Haoyi Niu · Rui Yang · Mingdong Wu · Ze Gong · Shubham Sharma · Chenjia Bai · Yu ("Tony") Zhang · Siyuan Li · Yuzheng Zhuang · Fangwei Zhong · Yiwen Qiu · Xiaoteng Ma · Fei Ni · Yulong Xia · Chongjie Zhang · Hao Dong · Ming Li · Zhaoran Wang · Bin Wang · Chongjie Zhang · Jianyu Chen · Guyue Zhou · Lei Han · Jianming HU · Jianye Hao · Xianyuan Zhan · Ping Luo -
2022 Poster: Inductive Logical Query Answering in Knowledge Graphs »
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2022 Poster: Deep Bidirectional Language-Knowledge Graph Pretraining »
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2022 Poster: DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning »
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2022 Poster: Few-shot Relational Reasoning via Connection Subgraph Pretraining »
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2022 Poster: Weakly supervised causal representation learning »
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2021 Poster: Sparse is Enough in Scaling Transformers »
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2021 Poster: Combiner: Full Attention Transformer with Sparse Computation Cost »
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2021 Poster: Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones »
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2021 Poster: Outcome-Driven Reinforcement Learning via Variational Inference »
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2021 Poster: Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage »
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2021 Poster: Model-Based Reinforcement Learning via Imagination with Derived Memory »
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2021 Poster: MobILE: Model-Based Imitation Learning From Observation Alone »
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2021 Poster: Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics »
Ingmar Schubert · Danny Driess · Ozgur S. Oguz · Marc Toussaint -
2021 Poster: Adaptive Online Packing-guided Search for POMDPs »
Chenyang Wu · Guoyu Yang · Zongzhang Zhang · Yang Yu · Dong Li · Wulong Liu · Jianye Hao -
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: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning »
Tianpei Yang · Weixun Wang · Hongyao Tang · Jianye Hao · Zhaopeng Meng · Hangyu Mao · Dong Li · Wulong Liu · Yingfeng Chen · Yujing Hu · Changjie Fan · Chengwei Zhang -
2021 Poster: S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks »
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2020 : Contributed Talk #3 »
Hongyu Ren -
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 Workshop: Machine Learning for Autonomous Driving »
Rowan McAllister · Xinshuo Weng · Daniel Omeiza · Nick Rhinehart · Fisher Yu · German Ros · Vladlen Koltun -
2020 Workshop: 3rd Robot Learning Workshop »
Masha Itkina · Alex Bewley · Roberto Calandra · Igor Gilitschenski · Julien PEREZ · Ransalu Senanayake · Markus Wulfmeier · Vincent Vanhoucke -
2020 Poster: Open Graph Benchmark: Datasets for Machine Learning on Graphs »
Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec -
2020 Poster: Natural Graph Networks »
Pim de Haan · Taco Cohen · Max Welling -
2020 Poster: Graph Information Bottleneck »
Tailin Wu · Hongyu Ren · Pan Li · Jure Leskovec -
2020 Spotlight: Open Graph Benchmark: Datasets for Machine Learning on Graphs »
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2020 Poster: Goal-directed Generation of Discrete Structures with Conditional Generative Models »
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2020 Poster: FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs »
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2020 Poster: PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning »
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2020 Poster: Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates »
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2020 Spotlight: Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates »
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2020 Oral: FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs »
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2020 Poster: Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs »
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2020 Poster: Information Theoretic Regret Bounds for Online Nonlinear Control »
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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 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 : Coffee + Posters »
Changhao Chen · Nils Gählert · Edouard Leurent · Johannes Lehner · Apratim Bhattacharyya · Harkirat Singh Behl · Teck Yian Lim · Shiho Kim · Jelena Novosel · Błażej Osiński · Arindam Das · Ruobing Shen · Jeffrey Hawke · Joachim Sicking · Babak Shahian Jahromi · Theja Tulabandhula · Claudio Michaelis · Evgenia Rusak · WENHANG BAO · Hazem Rashed · JP Chen · Amin Ansari · Jaekwang Cha · Mohamed Zahran · Daniele Reda · Jinhyuk Kim · Kim Dohyun · Ho Suk · Junekyo Jhung · Alexander Kister · Matthias Fahrland · Adam Jakubowski · Piotr Miłoś · Jean Mercat · Bruno Arsenali · Silviu Homoceanu · Xiao-Yang Liu · Philip Torr · Ahmad El Sallab · Ibrahim Sobh · Anurag Arnab · Krzysztof Galias -
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 : Poster Session »
Jonathan Scarlett · Piotr Indyk · Ali Vakilian · Adrian Weller · Partha P Mitra · Benjamin Aubin · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová · Kristina Monakhova · Joshua Yurtsever · Laura Waller · Hendrik Sommerhoff · Michael Moeller · Rushil Anirudh · Shuang Qiu · Xiaohan Wei · Zhuoran Yang · Jayaraman Thiagarajan · Salman Asif · Michael Gillhofer · Johannes Brandstetter · Sepp Hochreiter · Felix Petersen · Dhruv Patel · Assad Oberai · Akshay Kamath · Sushrut Karmalkar · Eric Price · Ali Ahmed · Zahra Kadkhodaie · Sreyas Mohan · Eero Simoncelli · Carlos Fernandez-Granda · Oscar Leong · Wesam Sakla · Rebecca Willett · Stephan Hoyer · Jascha Sohl-Dickstein · Sam Greydanus · Gauri Jagatap · Chinmay Hegde · Michael Kellman · Jonathan Tamir · Nouamane Laanait · Ousmane Dia · Mirco Ravanelli · Jonathan Binas · Negar Rostamzadeh · Shirin Jalali · Tiantian Fang · Alex Schwing · Sébastien Lachapelle · Philippe Brouillard · Tristan Deleu · Simon Lacoste-Julien · Stella Yu · Arya Mazumdar · Ankit Singh Rawat · Yue Zhao · Jianshu Chen · Xiaoyang Li · Hubert Ramsauer · Gabrio Rizzuti · Nikolaos Mitsakos · Dingzhou Cao · Thomas Strohmer · Yang Li · Pei Peng · Gregory Ongie -
2019 : Spotlight Talks 2 »
Josh Veitch-Michaelis · Chelsea Sidrane · Sella Nevo · Jean Oh -
2019 Poster: Efficient Forward Architecture Search »
Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric Horvitz · Debadeepta Dey -
2019 Poster: Adaptive Cross-Modal Few-shot Learning »
Chen Xing · Negar Rostamzadeh · Boris Oreshkin · Pedro O. Pinheiro -
2019 Poster: Learning from Trajectories via Subgoal Discovery »
Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury -
2019 Poster: Neural Multisensory Scene Inference »
Jae Hyun Lim · Pedro O. Pinheiro · Negar Rostamzadeh · Chris Pal · Sungjin Ahn -
2019 Poster: Compositional Plan Vectors »
Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine -
2019 Poster: Causal Confusion in Imitation Learning »
Pim de Haan · Dinesh Jayaraman · Sergey Levine -
2019 Oral: Causal Confusion in Imitation Learning »
Pim de Haan · Dinesh Jayaraman · Sergey Levine -
2018 : Deep Imitative Models for Flexible Inference, Planning, and Control (Nicholas Rhinehart) »
Nicholas Rhinehart -
2018 : Poster Session »
Sujay Sanghavi · Vatsal Shah · Yanyao Shen · Tianchen Zhao · Yuandong Tian · Tomer Galanti · Mufan Li · Gilad Cohen · Daniel Rothchild · Aristide Baratin · Devansh Arpit · Vagelis Papalexakis · Michael Perlmutter · Ashok Vardhan Makkuva · Pim de Haan · Yingyan Lin · Wanmo Kang · Cheolhyoung Lee · Hao Shen · Sho Yaida · Dan Roberts · Nadav Cohen · Philippe Casgrain · Dejiao Zhang · Tengyu Ma · Avinash Ravichandran · Julian Emilio Salazar · Bo Li · Davis Liang · Christopher Wong · Glen Bigan Mbeng · Animesh Garg -
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 : Make Macro Architecture Search Relevant Again »
Hanzhang Hu -
2018 : Drew Bagnell / Wen Sun »
James Bagnell · Wen Sun -
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 : 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 Poster: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine -
2018 Spotlight: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine -
2018 Poster: Dual Policy Iteration »
Wen Sun · Geoffrey Gordon · Byron Boots · J. Bagnell -
2018 Poster: Multi-Agent Generative Adversarial Imitation Learning »
Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon -
2018 Poster: Reinforcement Learning of Theorem Proving »
Cezary Kaliszyk · Josef Urban · Henryk Michalewski · Miroslav Olšák -
2018 Poster: Bias and Generalization in Deep Generative Models: An Empirical Study »
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon -
2018 Spotlight: Bias and Generalization in Deep Generative Models: An Empirical Study »
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon -
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: Hierarchical Attentive Recurrent Tracking »
Adam Kosiorek · Alex Bewley · Ingmar Posner -
2017 Poster: A-NICE-MC: Adversarial Training for MCMC »
Jiaming Song · Shengjia Zhao · Stefano Ermon -
2017 Poster: InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations »
Yunzhu Li · Jiaming Song · Stefano Ermon -
2012 Poster: Parametric Local Metric Learning for Nearest Neighbor Classification »
Jun Wang · Alexandros Kalousis · Adam Woznica -
2011 Poster: Metric Learning with Multiple Kernels »
Jun Wang · Huyen T Do · Adam Woznica · Alexandros Kalousis