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Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov
  Games
v1v2 (latest)

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games

17 August 2023
Songtao Feng
Ming Yin
Yu Wang
J. Yang
Yitao Liang
ArXiv (abs)PDFHTML

Papers citing "Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games"

14 / 14 papers shown
Title
Breaking the Curse of Multiagents in a Large State Space: RL in Markov
  Games with Independent Linear Function Approximation
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
Qiwen Cui
Kai Zhang
S. Du
82
23
0
07 Feb 2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong
Han Zhong
Chengshuai Shi
Cong Shen
Tong Zhang
104
18
0
04 Oct 2022
V-Learning -- A Simple, Efficient, Decentralized Algorithm for
  Multiagent RL
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin
Qinghua Liu
Yuanhao Wang
Tiancheng Yu
OffRL
76
132
0
27 Oct 2021
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin
Yu Wang
OffRL
151
82
0
17 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
Kai Zhang
Tamer Bacsar
80
57
0
12 Oct 2021
Towards General Function Approximation in Zero-Sum Markov Games
Towards General Function Approximation in Zero-Sum Markov Games
Baihe Huang
Jason D. Lee
Zhaoran Wang
Zhuoran Yang
88
47
0
30 Jul 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin
Qinghua Liu
Tiancheng Yu
86
50
0
07 Jun 2021
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov
  Games
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games
Zixiang Chen
Dongruo Zhou
Quanquan Gu
64
25
0
15 Feb 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Qinghua Liu
Tiancheng Yu
Yu Bai
Chi Jin
91
122
0
04 Oct 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai
Chi Jin
SSL
150
149
0
10 Feb 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time
  and Sample Complexity
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
Aaron Sidford
Mengdi Wang
Lin F. Yang
Yinyu Ye
111
70
0
29 Aug 2019
Feature-Based Q-Learning for Two-Player Stochastic Games
Feature-Based Q-Learning for Two-Player Stochastic Games
Zeyu Jia
Lin F. Yang
Mengdi Wang
98
45
0
02 Jun 2019
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement
  Learning
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann
Tor Lattimore
Emma Brunskill
83
311
0
22 Mar 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz
Shaked Shammah
Amnon Shashua
120
840
0
11 Oct 2016
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