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Learning in Nonzero-Sum Stochastic Games with Potentials

Learning in Nonzero-Sum Stochastic Games with Potentials

16 March 2021
D. Mguni
Yutong Wu
Yali Du
Yaodong Yang
Ziyi Wang
Minne Li
Ying Wen
Joel Jennings
Jun Wang
ArXivPDFHTML

Papers citing "Learning in Nonzero-Sum Stochastic Games with Potentials"

12 / 12 papers shown
Title
Beyond Theorems: A Counterexample to Potential Markov Game Criteria
Beyond Theorems: A Counterexample to Potential Markov Game Criteria
Fatemeh Fardno
S. Zahedi
52
0
0
13 May 2024
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
35
18
0
13 Jul 2022
Learning Distributed and Fair Policies for Network Load Balancing as
  Markov Potential Game
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao
Zihan Ding
OffRL
24
2
0
03 Jun 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence
  Model Tackles All SMAC Tasks
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
Linghui Meng
Muning Wen
Yaodong Yang
Chenyang Le
Xiyun Li
Weinan Zhang
Ying Wen
Haifeng Zhang
Jun Wang
Bo Xu
OffRL
26
38
0
06 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent
  Learning
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
D. Mguni
Taher Jafferjee
Jianhong Wang
Oliver Slumbers
Nicolas Perez Nieves
Feifei Tong
Yang Li
Jiangcheng Zhu
Yaodong Yang
Jun Wang
45
18
0
05 Dec 2021
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
32
49
0
20 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent
  Reinforcement Learning
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao
Lin F. Yang
Kaipeng Zhang
Tamer Bacsar
41
57
0
12 Oct 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
44
231
0
23 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
24
58
0
19 Aug 2021
Gradient play in stochastic games: stationary points, convergence, and
  sample complexity
Gradient play in stochastic games: stationary points, convergence, and sample complexity
Runyu Zhang
Zhaolin Ren
Na Li
31
43
0
01 Jun 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
98
91
0
08 Sep 2019
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