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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

15 June 2020
Stephen Marcus McAleer
John Lanier
Roy Fox
Pierre Baldi
ArXivPDFHTML

Papers citing "Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games"

13 / 13 papers shown
Title
A Survey on Self-play Methods in Reinforcement Learning
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
44
8
0
02 Aug 2024
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles
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
Bridging the Gap between Discrete Agent Strategies in Game Theory and
  Continuous Motion Planning in Dynamic Environments
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
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
38
2
0
05 Jun 2023
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Yang Li
Shao Zhang
Jichen Sun
Yali Du
Ying Wen
Xinbing Wang
Wei Pan
24
21
0
09 Feb 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
11
13
0
01 Dec 2022
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games
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
19
18
0
13 Jul 2022
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
39
2
0
12 Jul 2022
NeuPL: Neural Population Learning
NeuPL: Neural Population Learning
Siqi Liu
Luke Marris
Daniel Hennes
J. Merel
N. Heess
T. Graepel
28
17
0
15 Feb 2022
Anytime PSRO for Two-Player Zero-Sum Games
Anytime PSRO for Two-Player Zero-Sum Games
Stephen Marcus McAleer
Kevin A. Wang
John Lanier
Marc Lanctot
Pierre Baldi
T. Sandholm
Roy Fox
14
12
0
19 Jan 2022
Independent Natural Policy Gradient Always Converges in Markov Potential
  Games
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
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium
  Meta-Solvers
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris
Paul Muller
Marc Lanctot
K. Tuyls
T. Graepel
25
36
0
17 Jun 2021
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
104
292
0
16 Oct 2019
1