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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Title
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
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 24 49 0 20 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 124 161 0 15 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 32 25 0 08 Oct 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 21 7 0 30 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei C. Karen Liu Silvio Savarese 42 33 0 13 Aug 2021
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning R. Loftin Aadirupa Saha Sam Devlin Katja Hofmann 30 5 0 30 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 28 181 0 27 Jul 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers Luke Marris Paul Muller Marc Lanctot K. Tuyls T. Graepel 35 36 0 17 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z Leibo 27 37 0 16 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 38 11 0 12 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 14 116 0 11 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 26 43 0 01 Jun 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn Hao Xiong Huanhui Cao Lin Zhang Wenjie Lu 14 3 0 03 Apr 2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication Kalesha Bullard Douwe Kiela Franziska Meier Joelle Pineau Jakob N. Foerster 25 20 0 14 Mar 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 22 67 0 14 Mar 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung Xinrun Wang Runsheng Yu Bo An Senthilnath Jayavelu Xiaoli Li 29 8 0 17 Feb 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 24 15 0 18 Jan 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory Stefanos Leonardos Georgios Piliouras 28 40 0 05 Dec 2020
Learning in two-player games between transparent opponents A. Hutter 18 4 0 04 Dec 2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 25 19 0 25 Nov 2020
Loss Bounds for Approximate Influence-Based Abstraction E. Congeduti A. Mey F. Oliehoek 13 9 0 03 Nov 2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences Raphael Köster Kevin R. McKee Richard Everett Laura Weidinger William S. Isaac Edward Hughes Edgar A. Duénez-Guzmán T. Graepel M. Botvinick Joel Z Leibo 24 22 0 18 Oct 2020
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 27 9 0 29 Sep 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 49 79 0 04 Aug 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations Yan Zhang Michael M. Zavlanos OffRL 30 22 0 18 Jun 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 28 53 0 18 Jun 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 11 42 0 08 Jun 2020
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal Christian Schroeder de Witt Bei Peng Wendelin Bohmer Shimon Whiteson Fei Sha 23 63 0 07 Jun 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 6 18 0 21 May 2020
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation Mai Nishimura Ryo Yonetani 36 26 0 20 Mar 2020
Non-Cooperative Inverse Reinforcement Learning Xiangyuan Zhang Kaipeng Zhang Erik Miehling Tamer Basar 8 22 0 03 Nov 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 18 58 0 10 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals Yizheng Zhang A. Rosendo 17 6 0 08 Oct 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 20 89 0 27 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 22 248 0 26 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration Qisheng Wang Qichao Wang 18 1 0 18 Jul 2019
On the Convergence of Model Free Learning in Mean Field Games Romuald Elie Julien Pérolat Mathieu Laurière M. Geist Olivier Pietquin 17 89 0 04 Jul 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 348 0 25 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 19 33 0 17 May 2019
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes Stefan Rudolph Sven Tomforde J. Hähner 28 1 0 10 May 2019
Deep Fictitious Play for Stochastic Differential Games Ruimeng Hu 19 29 0 22 Mar 2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning Xiaobai Ma Katherine Driggs-Campbell Mykel J. Kochenderfer AAML 16 47 0 08 Mar 2019
$α$ -Rank: Multi-Agent Evaluation by Evolution Shayegan Omidshafiei Christos H. Papadimitriou Georgios Piliouras K. Tuyls Mark Rowland Jean-Baptiste Lespiau Wojciech M. Czarnecki Marc Lanctot Julien Perolat Rémi Munos 17 119 0 04 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suárez Yilun Du Phillip Isola Igor Mordatch 11 70 0 02 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research Joel Z Leibo Edward Hughes Marc Lanctot T. Graepel 22 105 0 02 Mar 2019