Timezone: »
Invited Speaker: Peter Stone (The University of Texas at Austin) on Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination
Peter Stone
As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously unfamiliar teammates. In such "ad hoc" team settings, team strategies cannot be developed a priori.
Rather, an agent must be prepared to cooperate with many types of teammates: it must collaborate without pre-coordination. This talk will cover past and ongoing research on the challenge of building autonomous agents that are capable of robust ad hoc teamwork.
Author Information
Peter Stone (The University of Texas at Austin)
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 : 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 -
2016 : Peter Stone (University of Texas at Austin) »
Peter Stone -
2015 Workshop: Learning, Inference and Control of Multi-Agent Systems »
Vicenç Gómez · Gerhard Neumann · Jonathan S Yedidia · Peter Stone