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
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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 39 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 25 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 33 2 0 09 Aug 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
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 13 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 27 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
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 11 14 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
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 25 5 0 05 Nov 2021
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers Chenguang Wang Yaodong Yang Oliver Slumbers Congying Han Tiande Guo Haifeng Zhang Jun Wang 19 17 0 28 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 44 58 0 26 Oct 2021