Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 113 papers shown

Title
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 88 34 0 03 Jan 2025
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 59 5 0 03 Jan 2025
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics Neil De La Fuente Miquel Noguer i Alonso Guim Casadellà 36 0 0 31 Dec 2024
Neural Interactive Proofs Lewis Hammond Sam Adam-Day AAML 86 2 0 12 Dec 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 45 0 0 24 Oct 2024
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong Yizhe Huang Song-Chun Zhu Siyuan Qi Xue Feng 28 2 0 10 Oct 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 48 6 0 23 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 92 3 0 20 Aug 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 43 2 0 14 Jul 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 25 0 0 20 Jun 2024
The Benefits of Power Regularization in Cooperative Reinforcement Learning Michelle Li Michael Dennis 38 3 0 17 Jun 2024
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning Yizhe Huang Guy Van den Broeck Fanqi Kong Yaodong Yang Song-Chun Zhu Xue Feng 39 3 0 12 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 28 0 0 03 Jun 2024
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 46 1 0 24 May 2024
Beyond Theorems: A Counterexample to Potential Markov Game Criteria Fatemeh Fardno S. Zahedi 52 0 0 13 May 2024
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange Philipp Altmann Katharina Winter Michael Kolle Maximilian Zorn Thomy Phan Claudia Linnhoff-Popien 44 0 0 04 Apr 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 26 1 0 19 Feb 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 37 1 0 28 Nov 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play John Kliem Prithviraj Dasgupta OffRL 16 1 0 27 Nov 2023
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams Yasin Findik Paul Robinette Kshitij Jerath S. Ahmadzadeh 31 2 0 19 Oct 2023
PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas Shahab Nikkhoo Zexin Li Aritra Samanta Yufei Li Cong Liu 35 6 0 29 Jul 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Rameswar Panda 21 6 0 17 Jul 2023
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman Jannis Weil Johannes Czech Tobias Meuser Kristian Kersting 11 2 0 22 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 28 3 0 09 May 2023
Should Collaborative Robots be Transparent? Shahabedin Sagheb Soham Gandhi Dylan P. Losey 32 1 0 23 Apr 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman 19 1 0 15 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas Bengisu Guresti Abdullah Vanlioglu N. K. Üre 13 5 0 28 Feb 2023
Learning Roles with Emergent Social Value Orientations Wenhao Li Xiangfeng Wang Bo Jin J. Lu H. Zha 18 3 0 31 Jan 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 44 6 0 24 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Learning to Participate through Trading of Reward Shares Michael Kölle Tim Matheis Philipp Altmann Kyrill Schmid 23 7 0 18 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 35 0 0 29 Dec 2022
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 20 12 0 19 Dec 2022
Similarity-based cooperative equilibrium Caspar Oesterheld Johannes Treutlein Roger C. Grosse Vincent Conitzer Jakob N. Foerster 13 6 0 26 Nov 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 33 31 0 24 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 22 3 0 21 Nov 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 35 0 0 24 Oct 2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning M. Gerstgrasser David C. Parkes OffRL 26 19 0 19 Oct 2022
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 34 21 0 18 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 21 16 0 09 Oct 2022
Towards Robots that Influence Humans over Long-Term Interaction Shahabedin Sagheb Ye-Ji Mun Neema Ahmadian Benjamin A. Christie Andrea V. Bajcsy Katherine Driggs-Campbell Dylan P. Losey 13 8 0 21 Sep 2022
Intrinsic fluctuations of reinforcement learning promote cooperation W. Barfuss Janusz M. Meylahn 21 17 0 01 Sep 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 29 76 0 19 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 43 2 0 12 Jul 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 24 7 0 05 Jul 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau Jinke He Mustafa Mert cCelikok M. Spaan F. Oliehoek 19 1 0 01 Jul 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 2022