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Local Optimization Achieves Global Optimality in Multi-Agent
  Reinforcement Learning

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning

8 May 2023
Yulai Zhao
Zhuoran Yang
Zhaoran Wang
Jason D. Lee
ArXivPDFHTML

Papers citing "Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning"

5 / 5 papers shown
Title
On Sample-Efficient Offline Reinforcement Learning: Data Diversity,
  Posterior Sampling, and Beyond
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
Thanh Nguyen-Tang
Raman Arora
OffRL
15
3
0
06 Jan 2024
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum
  Markov Games
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Shicong Cen
Yuejie Chi
S. Du
Lin Xiao
41
35
0
03 Oct 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov
  Games
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
Yulai Zhao
Yuandong Tian
Jason D. Lee
S. Du
OffRL
39
18
0
17 Feb 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
57
158
0
11 Jan 2021
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
96
90
0
08 Sep 2019
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