$α$ -Rank: Multi-Agent Evaluation by Evolution

4 March 2019

Shayegan Omidshafiei

Christos H. Papadimitriou

Georgios Piliouras

K. Tuyls

Mark Rowland

Jean-Baptiste Lespiau

Wojciech M. Czarnecki

Marc Lanctot

Julien Perolat

Rémi Munos

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Papers citing "$α$-Rank: Multi-Agent Evaluation by Evolution"

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Title
Role-Selection Game in Block Production under Proposer-Builder Separation Yanzhen Li Zining Wang 59 0 0 19 Mar 2025
Strength Estimation and Human-Like Strength Adjustment in Games Chun Jung Chen Chung-Chin Shih Ti-Rong Wu OffRL 143 1 0 24 Feb 2025
Preference graphs: a combinatorial tool for game theory O. Biggar Iman Shames 47 0 0 05 Feb 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
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles Jiesong Lian Yucong Huang Chengdong Ma Mingzhi Wang Ying Wen Long Hu Yixue Hao 62 0 0 31 May 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 40 2 0 20 Feb 2023
The Replicator Dynamic, Chain Components and the Response Graph O. Biggar Iman Shames 16 4 0 30 Sep 2022
Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann C. Gros 26 26 0 29 Sep 2022
Alternating Mirror Descent for Constrained Min-Max Games Andre Wibisono Molei Tao Georgios Piliouras 24 14 0 08 Jun 2022
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xueqiang Yan Yali Du Binxin Ru Jun Wang Haifeng Zhang Xu Chen 33 7 0 12 Jan 2022
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 24 17 0 28 Oct 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 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
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
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael M. Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory Stefanos Leonardos Georgios Piliouras 31 40 0 05 Dec 2020
Game Plan: What AI can do for Football, and What Football can do for AI K. Tuyls Shayegan Omidshafiei Paul Muller Zhe Wang Jerome T. Connor ... Simon Bouton Nathalie Beauguerlange Jackson Broshear T. Graepel Demis Hassabis 44 78 0 18 Nov 2020
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 Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 32 550 0 12 Oct 2018
Discrete stochastic processes, replicator and Fokker-Planck equations of coevolutionary dynamics in finite and infinite populations J. Claussen 41 13 0 17 Mar 2008

ααα-Rank: Multi-Agent Evaluation by Evolution

Papers citing "$α$-Rank: Multi-Agent Evaluation by Evolution"

$α$ -Rank: Multi-Agent Evaluation by Evolution