A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

2 November 2017

Julien Perolat

David Silver

T. Graepel

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Papers citing "A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning"

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Two-Player Zero-Sum Differential Games with One-Sided Information Mukesh Ghimire Z. Xu Yi Ren SyDa 95 0 0 17 Feb 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play Zelai Xu Chao Yu Ruize Zhang Huining Yuan Xiangmin Yi ... Wenhao Tang Yu-Xiang Wang Wenbo Ding Xiusi Chen Yu Wang 139 0 0 04 Feb 2025
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 54 0 0 17 Jan 2025
A Survey on Self-play Methods in Reinforcement Learning Ruize Zhang Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 51 8 0 02 Aug 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles Jiesong Lian Yucong Huang Chengdong Ma Mingzhi Wang Ying Wen Long Hu Yixue Hao 57 0 0 31 May 2024
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z Leibo GNN 31 28 0 22 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 29 1 0 30 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 42 1 0 19 Apr 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 30 1 0 17 Mar 2024
Evaluating Language Model Agency through Negotiations Tim R. Davidson V. Veselovsky Martin Josifoski Maxime Peyrard Antoine Bosselut Michal Kosinski Robert West LLMAG 34 22 0 09 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 33 8 0 15 Dec 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 28 3 0 02 Oct 2023
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard Hadi Hemmati AAML 21 2 0 26 Sep 2023
Diverse Policies Converge in Reward-free Markov Decision Processe Fanqing Lin Shiyu Huang Weiwei Tu 30 0 0 23 Aug 2023
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games Yang Li Kun Xiong Yingping Zhang Jiangcheng Zhu Stephen Marcus McAleer Wei Pan Jun Wang Zonghong Dai Yaodong Yang 36 2 0 09 Aug 2023
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li Shao Zhang Jichen Sun Wenhao Zhang Yali Du Ying Wen Xinbing Wang Wei Pan 24 13 0 05 Jun 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 39 140 0 26 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Qiqi Duan Chang Shao Guochen Zhou Hao Yang Qi Zhao Yuhui Shi 17 4 0 11 Apr 2023
Rule Enforcing Through Ordering David Sychrovský S. Desai M. Loebl 9 0 0 31 Mar 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
Price of Anarchy in a Double-Sided Critical Distribution System David Sychrovský Jakub Cerny Sylvain Lichau M. Loebl 15 1 0 20 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 26 17 0 15 Feb 2023
Achieving Better Regret against Strategic Adversaries Le Cong Dinh Tri-Dung Nguyen Alain B. Zemkoho Long Tran-Thanh 19 0 0 13 Feb 2023
Universal Agent Mixtures and the Geometry of Intelligence S. Alexander David Quarel Len Du Marcus Hutter 18 1 0 13 Feb 2023
Cooperative Open-ended Learning Framework for Zero-shot Coordination Yang Li Shao Zhang Jichen Sun Yali Du Ying Wen Xinbing Wang Wei Pan 24 22 0 09 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 28 13 0 06 Feb 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
On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits Jialin Yi Milan Vojnović 19 3 0 30 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 30 31 0 24 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 17 3 0 21 Nov 2022
Adversarial Policies Beat Superhuman Go AIs T. T. Wang Adam Gleave Tom Tseng Kellin Pelrine Nora Belrose ... Michael Dennis Yawen Duan V. Pogrebniak Sergey Levine Stuart Russell AAML 13 21 0 01 Nov 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 18 16 0 13 Oct 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 19 3 0 07 Aug 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 33 3 0 18 Jul 2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games Stephen Marcus McAleer JB Lanier Kevin A. Wang Pierre Baldi Roy Fox T. Sandholm 27 18 0 13 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
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 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
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions Jing Tan R. Khalili Holger Karl A. Hecker OffRL 19 20 0 05 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 25 26 0 30 Mar 2022
What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies L. C. Medeiros David S. Aleixo Levi H. S. Lelis 13 15 0 22 Mar 2022
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty Hannes Eriksson D. Basu Mina Alibeigi Christos Dimitrakakis 16 4 0 18 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 27 6 0 03 Mar 2022
Machine Learning Empowered Intelligent Data Center Networking: A Survey Bo-wen Li Ting Wang Peng Yang Mingsong Chen Shui Yu Mounir Hamdi AI4CE 16 4 0 28 Feb 2022
NeuPL: Neural Population Learning Siqi Liu Luke Marris Daniel Hennes J. Merel N. Heess T. Graepel 30 17 0 15 Feb 2022
Anytime PSRO for Two-Player Zero-Sum Games Stephen Marcus McAleer Kevin A. Wang John Lanier Marc Lanctot Pierre Baldi T. Sandholm Roy Fox 22 12 0 19 Jan 2022
Paradigms of Computational Agency Srinath Srinivasa Jayati Deshmukh AI4CE AIFin LM&Ro 14 1 0 10 Dec 2021