Iterative Empirical Game Solving via Single Policy Best Response

3 June 2021

Papers citing "Iterative Empirical Game Solving via Single Policy Best Response"

9 / 9 papers shown

Title
Learning to Play against Any Mixture of Opponents Max O. Smith Thomas W. Anthony Yongzhao Wang Michael P. Wellman OffRL 47 9 0 29 Sep 2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games Stephen Marcus McAleer John Lanier Roy Fox Pierre Baldi 24 78 0 15 Jun 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 40 89 0 27 Sep 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 60 120 0 04 Mar 2019
Open-ended Learning in Symmetric Zero-sum Games David Balduzzi M. Garnelo Yoram Bachrach Wojciech M. Czarnecki Julien Perolat Max Jaderberg T. Graepel 42 169 0 23 Jan 2019
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 84 628 0 02 Nov 2017
A multi-agent reinforcement learning model of common-pool resource appropriation Julien Perolat Joel Z Leibo V. Zambaldi Charlie Beattie K. Tuyls T. Graepel 45 186 0 20 Jul 2017
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 146 7,590 0 22 Sep 2015
Bayes' Bluff: Opponent Modelling in Poker F. Southey Michael Bowling Bryce Larson Carmelo Piccione Neil Burch Darse Billings D. C. Rayner 118 260 0 04 Jul 2012