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 : 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
• 2022 : BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
  Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu
• 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 : 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 : Human in the Loop Learning for Robot Navigation and Task Learning from Implicit Human Feedback »
  Peter Stone
• 2022 Poster: BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
  Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu
• 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 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: Machine versus Human Attention in Deep Reinforcement Learning Tasks »
  Sihang Guo · Ruohan Zhang · Bo Liu · Yifeng Zhu · Dana Ballard · Mary Hayhoe · Peter Stone
• 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 : Panel discussion »
  Pierre-Yves Oudeyer · Marc Bellemare · Peter Stone · Matt Botvinick · Susan Murphy · Anusha Nagabandi · Ashley Edwards · Karen Liu · Pieter Abbeel
• 2020 : Discussion Panel »
  Pete Florence · Dorsa Sadigh · Carolina Parada · Jeannette Bohg · Roberto Calandra · Peter Stone · Fabio Ramos
• 2020 : Invited talk: Peter Stone "Grounded Simulation Learning for Sim2Real with Connections to Off-Policy Reinforcement Learning" »
  Peter Stone
• 2020 Poster: Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks »
  Lemeng Wu · Bo Liu · Peter Stone · Qiang Liu
• 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
• 2018 : Peter Stone »
  Peter Stone
• 2018 : Control Algorithms for Imitation Learning from Observation »
  Peter Stone
• 2018 : Peter Stone »
  Peter Stone
• 2015 Workshop: Learning, Inference and Control of Multi-Agent Systems »
  Vicenç Gómez · Gerhard Neumann · Jonathan S Yedidia · Peter Stone