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
• 2023 Poster: FAMO: Fast Adaptive Multitask Optimization »
  Bo Liu · Yihao Feng · Peter Stone · Qiang Liu
• 2023 Poster: ELDEN: Exploration via Local Dependencies »
  Zizhao Wang · Jiaheng Hu · Roberto Martín-Martín · Peter Stone
• 2023 Poster: f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences »
  Siddhant Agarwal · Ishan Durugkar · Peter Stone · Amy Zhang
• 2023 Poster: LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning »
  Bo Liu · Yifeng Zhu · Chongkai Gao · Yihao Feng · Qiang Liu · Yuke Zhu · 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
• 2021 Poster: Environment Generation for Zero-Shot Compositional Reinforcement Learning »
  Izzeddin Gur · Natasha Jaques · Yingjie Miao · Jongwook Choi · Manoj Tiwari · Honglak Lee · Aleksandra Faust
• 2020 : Panel: Kate Larson (DeepMind) [moderator], Natasha Jaques (Google), Jeffrey Rosenschein (The Hebrew University of Jerusalem), Michael Wooldridge (University of Oxford) »
  Kate Larson · Natasha Jaques · Jeffrey S Rosenschein · Michael Wooldridge
• 2020 : Q&A: James Fearon (Stanford University): Cooperation Inside and Over the Rules of the Game, with Natasha Jaques (Google) [moderator] »
  James Fearon · Natasha Jaques
• 2020 : Q&A: Sarit Kraus (Bar-Ilan University): Agent-Human Collaboration and Learning for Improving Human Satisfaction, with Natasha Jaques (Google) [moderator] »
  Sarit Kraus · Natasha Jaques
• 2020 : Q&A: William Isaac (DeepMind): Can Cooperative Make AI (and Society) Fairer?, with Natasha Jaques (Google) [moderator] »
  William Isaac · Natasha Jaques
• 2020 : Q&A: Gillian Hadfield (University of Toronto): The Normative Infrastructure of Cooperation, with Natasha Jaques (Google) [moderator] »
  Gillian Hadfield · Natasha Jaques
• 2020 : Q&A: Open Problems in Cooperative AI with Thore Graepel (DeepMind), Allan Dafoe (University of Oxford), Yoram Bachrach (DeepMind), and Natasha Jaques (Google) [moderator] »
  Thore Graepel · Yoram Bachrach · Allan Dafoe · 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: Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design »
  Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
• 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
• 2020 Oral: Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design »
  Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
• 2019 Workshop: Emergent Communication: Towards Natural Language »
  Abhinav Gupta · Michael Noukhovitch · Cinjon Resnick · Natasha Jaques · Angelos Filos · Marie Ossenkopf · Angeliki Lazaridou · Jakob Foerster · Ryan Lowe · Douwe Kiela · Kyunghyun Cho
• 2019 Poster: Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems »
  Asma Ghandeharioun · Judy Hanwen Shen · Natasha Jaques · Craig Ferguson · Noah Jones · Agata Lapedriza · Rosalind Picard
• 2018 : Peter Stone »
  Peter Stone
• 2018 : Control Algorithms for Imitation Learning from Observation »
  Peter Stone
• 2018 : Peter Stone »
  Peter Stone
• 2016 : Peter Stone (University of Texas at Austin) »
  Peter Stone
• 2016 Demonstration: Interactive musical improvisation with Magenta »
  Adam Roberts · Jesse Engel · Curtis Hawthorne · Ian Simon · Elliot Waite · Sageev Oore · Natasha Jaques · Cinjon Resnick · Douglas Eck
• 2015 Workshop: Learning, Inference and Control of Multi-Agent Systems »
  Vicenç Gómez · Gerhard Neumann · Jonathan S Yedidia · Peter Stone