More from the Same Authors

• 2020 : Paper 19: Multiagent Driving Policy for Congestion Reduction in a Large Scale Scenario »
  Jiaxun Cui · Peter Stone
• 2021 : Task-Independent Causal State Abstraction »
  Zizhao Wang · Xuesu Xiao · Yuke Zhu · Peter Stone
• 2021 : Leveraging Information about Background Music in Human-Robot Interaction »
  Elad Liebman · Peter Stone
• 2021 : Implicit Behavioral Cloning »
  Pete Florence · Corey Lynch · Andy Zeng · Oscar Ramirez · Ayzaan Wahid · Laura Downs · Adrian Wong · Igor Mordatch · Jonathan Tompson
• 2021 : Safe Evaluation For Offline Learning: \\Are We Ready To Deploy? »
  Hager Radi · Josiah Hanna · Peter Stone · Matthew Taylor
• 2021 : Safe Evaluation For Offline Learning: \\Are We Ready To Deploy? »
  Hager Radi · Josiah Hanna · Peter Stone · Matthew Taylor
• 2021 : When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans »
  Minae Kwon · Erdem Biyik · Aditi Talati · Karan Bhasin · Dylan Losey · Dorsa Sadigh
• 2022 : BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
  Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu
• 2022 : A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations »
  Sohan Rudra · Saksham Goel · Anirban Santara · Claudio Gentile · Laurent Perron · Fei Xia · Vikas Sindhwani · Carolina Parada · Gaurav Aggarwal
• 2022 : Interactive Language: Talking to Robots in Real Time »
  Corey Lynch · Pete Florence · Jonathan Tompson · Ayzaan Wahid · Tianli Ding · James Betker · Robert Baruch · Travis Armstrong
• 2022 : ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning »
  Eddy Hudson · Ishan Durugkar · Garrett Warnell · Peter Stone
• 2022 : ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning »
  Eddy Hudson · Ishan Durugkar · Garrett Warnell · Peter Stone
• 2022 : Variance Reduction in Off-Policy Deep Reinforcement Learning using Spectral Normalization »
  Payal Bawa · Rafael Oliveira · Fabio Ramos
• 2022 : Learning Successor Feature Representations to Train Robust Policies for Multi-task Learning »
  Melissa Mozifian · Dieter Fox · David Meger · Fabio Ramos · Animesh Garg
• 2022 : A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations »
  Sohan Rudra · Saksham Goel · Anirban Santara · Claudio Gentile · Laurent Perron · Fei Xia · Vikas Sindhwani · Carolina Parada · Gaurav Aggarwal
• 2022 : Interactive Language: Talking to Robots in Real Time »
  Corey Lynch · Pete Florence · Jonathan Tompson · Ayzaan Wahid · Tianli Ding · James Betker · Robert Baruch · Travis Armstrong
• 2022 : Panel Discussion »
  Kamalika Chaudhuri · Been Kim · Dorsa Sadigh · Huan Zhang · Linyi Li
• 2022 : Invited Talk: Dorsa Sadigh »
  Dorsa Sadigh
• 2022 : Dorsa Sadigh: Aligning Robot Representations with Humans »
  Dorsa Sadigh
• 2022 Workshop: 5th Robot Learning Workshop: Trustworthy Robotics »
  Alex Bewley · Roberto Calandra · Anca Dragan · Igor Gilitschenski · Emily Hannigan · Masha Itkina · Hamidreza Kasaei · Jens Kober · Danica Kragic · Nathan Lambert · Julien PEREZ · Fabio Ramos · Ransalu Senanayake · Jonathan Tompson · Vincent Vanhoucke · Markus Wulfmeier
• 2022 Spotlight: Batch Bayesian optimisation via density-ratio estimation with guarantees »
  Rafael Oliveira · Louis Tiao · Fabio Ramos
• 2022 : Panel RL Theory-Practice Gap »
  Peter Stone · Matej Balog · Jonas Buchli · Jason Gauci · Dhruv Madeka
• 2022 : Panel RL Benchmarks »
  Minmin Chen · Pablo Samuel Castro · Caglar Gulcehre · Tony Jebara · Peter Stone
• 2022 : Invited talk: Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning »
  Peter Stone
• 2022 : Aligning Humans and Robots: Active Elicitation of Informative and Compatible Queries »
  Dorsa Sadigh
• 2022 : Human in the Loop Learning for Robot Navigation and Task Learning from Implicit Human Feedback »
  Peter Stone
• 2022 : Invited Talk: Dorsa Sadigh »
  Dorsa Sadigh · Siddharth Karamcheti
• 2022 Poster: Assistive Teaching of Motor Control Tasks to Humans »
  Megha Srivastava · Erdem Biyik · Suvir Mirchandani · Noah Goodman · Dorsa Sadigh
• 2022 Poster: Training and Inference on Any-Order Autoregressive Models the Right Way »
  Andy Shih · Dorsa Sadigh · Stefano Ermon
• 2022 Poster: BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
  Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu
• 2022 Poster: Batch Bayesian optimisation via density-ratio estimation with guarantees »
  Rafael Oliveira · Louis Tiao · Fabio Ramos
• 2022 Poster: Value Function Decomposition for Iterative Design of Reinforcement Learning Agents »
  James MacGlashan · Evan Archer · Alisa Devlic · Takuma Seno · Craig Sherstan · Peter Wurman · Peter Stone
• 2021 : Invited Talk: Dorsa Sadigh (Stanford University) on The Role of Conventions in Adaptive Human-AI Interaction »
  Dorsa Sadigh
• 2021 Workshop: Physical Reasoning and Inductive Biases for the Real World »
  Krishna Murthy Jatavallabhula · Rika Antonova · Kevin Smith · Hsiao-Yu Tung · Florian Shkurti · Jeannette Bohg · Josh Tenenbaum
• 2021 Workshop: 2nd Workshop on Self-Supervised Learning: Theory and Practice »
  Pengtao Xie · Ishan Misra · Pulkit Agrawal · Abdelrahman Mohamed · Shentong Mo · Youwei Liang · Jeannette Bohg · Kristina N Toutanova
• 2021 : Implicit Behavioral Cloning Q&A »
  Pete Florence · Corey Lynch · Andy Zeng · Oscar Ramirez · Ayzaan Wahid · Laura Downs · Adrian Wong · Igor Mordatch · Jonathan Tompson
• 2021 : Implicit Behavioral Cloning »
  Pete Florence · Corey Lynch · Andy Zeng · Oscar Ramirez · Ayzaan Wahid · Laura Downs · Adrian Wong · Igor Mordatch · Jonathan Tompson
• 2021 Poster: Adversarial Intrinsic Motivation for Reinforcement Learning »
  Ishan Durugkar · Mauricio Tec · Scott Niekum · Peter Stone
• 2021 Poster: Conflict-Averse Gradient Descent for Multi-task learning »
  Bo Liu · Xingchao Liu · Xiaojie Jin · Peter Stone · Qiang Liu
• 2021 Poster: HyperSPNs: Compact and Expressive Probabilistic Circuits »
  Andy Shih · Dorsa Sadigh · Stefano Ermon
• 2021 Poster: Active 3D Shape Reconstruction from Vision and Touch »
  Edward Smith · David Meger · Luis Pineda · Roberto Calandra · Jitendra Malik · Adriana Romero Soriano · Michal Drozdzal
• 2021 Poster: Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality »
  Songyuan Zhang · ZHANGJIE CAO · Dorsa Sadigh · Yanan Sui
• 2021 Poster: ELLA: Exploration through Learned Language Abstraction »
  Suvir Mirchandani · Siddharth Karamcheti · Dorsa Sadigh
• 2021 Poster: Machine versus Human Attention in Deep Reinforcement Learning Tasks »
  Sihang Guo · Ruohan Zhang · Bo Liu · Yifeng Zhu · Dana Ballard · Mary Hayhoe · Peter Stone
• 2020 : Jeanette Bohg - One the Role of Hierarchies for Learning Manipulation Skills »
  Jeannette Bohg
• 2020 : Q&A: Peter Stone (The University of Texas at Austin): Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination, with Natasha Jaques (Google) [moderator] »
  Peter Stone · Natasha Jaques
• 2020 : Invited Speaker: Peter Stone (The University of Texas at Austin) on Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination »
  Peter Stone
• 2020 : Invited Talk - "RL with Sim2Real in the Loop / Online Domain Adaptation for Mapping" »
  Fabio Ramos · Anthony Tompkins
• 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: Peter Stone "Grounded Simulation Learning for Sim2Real with Connections to Off-Policy Reinforcement Learning" »
  Peter Stone
• 2020 : Bayesian optimization by density ratio estimation »
  Louis Tiao · Aaron Klein · Cedric Archambeau · Edwin Bonilla · Matthias W Seeger · Fabio Ramos
• 2020 : Invited Talk - "State of Robotics @ Google" »
  Carolina Parada
• 2020 : Invited Talk - "Object- and Action-Centric Representational Robot Learning" »
  Pete Florence · Daniel Seita
• 2020 : Invited Talk - "Walking the Boundary of Learning and Interaction" »
  Dorsa Sadigh · Erdem Biyik
• 2020 Workshop: 3rd Robot Learning Workshop »
  Masha Itkina · Alex Bewley · Roberto Calandra · Igor Gilitschenski · Julien PEREZ · Ransalu Senanayake · Markus Wulfmeier · Vincent Vanhoucke
• 2020 Workshop: Meta-Learning »
  Jane Wang · Joaquin Vanschoren · Erin Grant · Jonathan Richard Schwarz · Francesco Visin · Jeff Clune · Roberto Calandra
• 2020 Poster: Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning »
  Anthony Tompkins · Rafael Oliveira · Fabio Ramos
• 2020 Poster: Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization »
  Ben Letham · Roberto Calandra · Akshara Rai · Eytan Bakshy
• 2020 Poster: Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks »
  Lemeng Wu · Bo Liu · Peter Stone · Qiang Liu
• 2020 Poster: 3D Shape Reconstruction from Vision and Touch »
  Edward Smith · Roberto Calandra · Adriana Romero · Georgia Gkioxari · David Meger · Jitendra Malik · Michal Drozdzal
• 2020 Poster: An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch »
  Siddharth Desai · Ishan Durugkar · Haresh Karnan · Garrett Warnell · Josiah Hanna · Peter Stone
• 2019 Workshop: Robot Learning: Control and Interaction in the Real World »
  Roberto Calandra · Markus Wulfmeier · Kate Rakelly · Sanket Kamthe · Danica Kragic · Stefan Schaal · Markus Wulfmeier
• 2019 : Poster Session »
  Lili Yu · Aleksei Kroshnin · Alex Delalande · Andrew Carr · Anthony Tompkins · Aram-Alexandre Pooladian · Arnaud Robert · Ashok Vardhan Makkuva · Aude Genevay · Bangjie Liu · Bo Zeng · Charlie Frogner · Elsa Cazelles · Esteban G Tabak · Fabio Ramos · François-Pierre PATY · Georgios Balikas · Giulio Trigila · Hao Wang · Hinrich Mahler · Jared Nielsen · Karim Lounici · Kyle Swanson · Mukul Bhutani · Pierre Bréchet · Piotr Indyk · samuel cohen · Stefanie Jegelka · Tao Wu · Thibault Sejourne · Tudor Manole · Wenjun Zhao · Wenlin Wang · Wenqi Wang · Yonatan Dukler · Zihao Wang · Chaosheng Dong
• 2019 Workshop: Meta-Learning »
  Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang
• 2018 : Panel »
  Yimeng Zhang · Alfredo Canziani · Marco Pavone · Dorsa Sadigh · Kurt Keutzer
• 2018 : Peter Stone »
  Peter Stone
• 2018 : Invited Talk: Dorsa Sadigh, Stanford »
  Dorsa Sadigh
• 2018 : Control Algorithms for Imitation Learning from Observation »
  Peter Stone
• 2018 : Fabio Ramos (Uni. of Sydney): Learning and Planning in Spatial-Temporal Data »
  Fabio Ramos
• 2018 : Talk 7: Jeannette Bohg - On perceptual representations and how they interact with actions and physical models »
  Jeannette Bohg
• 2018 : Dorsa Sadigh »
  Dorsa Sadigh
• 2018 : Peter Stone »
  Peter Stone
• 2018 Workshop: Modeling and decision-making in the spatiotemporal domain »
  Ransalu Senanayake · Neal Jean · Fabio Ramos · Girish Chowdhary
• 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: Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models »
  Amir Dezfouli · Richard Morris · Fabio Ramos · Peter Dayan · Bernard Balleine
• 2018 Oral: Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models »
  Amir Dezfouli · Richard Morris · Fabio Ramos · Peter Dayan · Bernard Balleine
• 2018 Poster: Multi-Agent Generative Adversarial Imitation Learning »
  Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon
• 2017 : Introduction and opening remarks »
  Roberto Calandra
• 2017 Workshop: Workshop on Meta-Learning »
  Roberto Calandra · Frank Hutter · Hugo Larochelle · Sergey Levine
• 2016 : Peter Stone (University of Texas at Austin) »
  Peter Stone
• 2016 Workshop: Bayesian Optimization: Black-box Optimization and Beyond »
  Roberto Calandra · Bobak Shahriari · Javier Gonzalez · Frank Hutter · Ryan Adams
• 2016 Poster: Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments »
  Ransalu Senanayake · Lionel Ott · Simon O'Callaghan · Fabio Ramos
• 2015 Workshop: Bayesian Optimization: Scalability and Flexibility »
  Bobak Shahriari · Ryan Adams · Nando de Freitas · Amar Shah · Roberto Calandra
• 2015 Workshop: Learning, Inference and Control of Multi-Agent Systems »
  Vicenç Gómez · Gerhard Neumann · Jonathan S Yedidia · Peter Stone
• 2014 Poster: On Integrated Clustering and Outlier Detection »
  Lionel Ott · Linsey Pang · Fabio Ramos · Sanjay Chawla