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Anytime PSRO for Two-Player Zero-Sum Games

Anytime PSRO for Two-Player Zero-Sum Games

19 January 2022
Stephen Marcus McAleer
Kevin A. Wang
John Lanier
Marc Lanctot
Pierre Baldi
Tuomas Sandholm
Roy Fox
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Papers citing "Anytime PSRO for Two-Player Zero-Sum Games"

12 / 12 papers shown
Title
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Chao Yu
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Yaodong Yang
Yu Wang
Yu Wang
SyDa
SSL
OnRL
81
9
0
02 Aug 2024
Iterative Empirical Game Solving via Single Policy Best Response
Iterative Empirical Game Solving via Single Policy Best Response
Max O. Smith
Thomas W. Anthony
Michael P. Wellman
52
18
0
03 Jun 2021
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang
Gary Qiurui Ma
Michael P. Wellman
21
11
0
21 May 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen Marcus McAleer
John Lanier
Kevin A. Wang
Pierre Baldi
Roy Fox
44
54
0
11 Mar 2021
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash
  Equilibria in Large Games
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
OpenSpiel: A Framework for Reinforcement Learning in Games
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
75
250
0
26 Aug 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina
Christian Kroer
Noam Brown
Tuomas Sandholm
64
34
0
13 Feb 2019
Open-ended Learning in Symmetric Zero-sum Games
Open-ended Learning in Symmetric Zero-sum Games
David Balduzzi
M. Garnelo
Yoram Bachrach
Wojciech M. Czarnecki
Julien Perolat
Max Jaderberg
T. Graepel
46
171
0
23 Jan 2019
Solving Imperfect-Information Games via Discounted Regret Minimization
Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown
Tuomas Sandholm
122
167
0
11 Sep 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
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
91
635
0
02 Nov 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
156
7,623
0
22 Sep 2015
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