Learning with Opponent-Learning Awareness

13 September 2017

Pieter Abbeel

Papers citing "Learning with Opponent-Learning Awareness"

50 / 98 papers shown

Title
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 54 5 0 03 Jan 2025
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 80 34 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 33 0 0 31 Dec 2024
Neural Interactive Proofs Lewis Hammond Sam Adam-Day AAML 84 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 41 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 26 2 0 10 Oct 2024
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 40 6 0 23 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 87 3 0 20 Aug 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 29 2 0 14 Jul 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Aaron C. Courville Gauthier Gidel Aaron Courville 23 0 0 20 Jun 2024
The Benefits of Power Regularization in Cooperative Reinforcement Learning Michelle Li Michael Dennis 31 3 0 17 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 38 1 0 24 May 2024
Beyond Theorems: A Counterexample to Potential Markov Game Criteria Fatemeh Fardno S. Zahedi 50 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 33 0 0 04 Apr 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 28 8 0 15 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 32 1 0 28 Nov 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play John Kliem Prithviraj Dasgupta OffRL 11 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 29 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 15 6 0 29 Jul 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Aaron C. Courville 19 6 0 17 Jul 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 18 3 0 09 May 2023
Should Collaborative Robots be Transparent? Shahabedin Sagheb Soham Gandhi Dylan P. Losey 22 1 0 23 Apr 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation Ariyan Bighashdel Daan de Geus P. Jancura Gijs Dubbelman 11 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
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 34 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 34 121 0 19 Jan 2023
Learning to Participate through Trading of Reward Shares Michael Kölle Tim Matheis Philipp Altmann Kyrill Schmid 19 7 0 18 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 30 0 0 29 Dec 2022
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 18 12 0 19 Dec 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 23 30 0 24 Nov 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 16 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 21 0 0 24 Oct 2022
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning M. Gerstgrasser David C. Parkes OffRL 16 19 0 19 Oct 2022
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 23 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 19 16 0 09 Oct 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 24 76 0 19 Jul 2022
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 41 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 16 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 14 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 20 26 0 30 Mar 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri P. Koumoutsakos CLL OffRL 8 7 0 24 Mar 2022
RILI: Robustly Influencing Latent Intent Sagar Parekh Soheil Habibian Dylan P. Losey 24 13 0 23 Mar 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 77 37 0 19 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 22 26 0 31 Jan 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 24 11 0 05 Jan 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 22 21 0 20 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 28 2 0 14 Dec 2021