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Provably Efficient Information-Directed Sampling Algorithms for
  Multi-Agent Reinforcement Learning

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning

30 April 2024
Qiaosheng Zhang
Chenjia Bai
Shuyue Hu
Zhen Wang
Xuelong Li
ArXivPDFHTML

Papers citing "Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning"

4 / 4 papers shown
Title
Sample-Efficient Multi-Agent RL: An Optimization Perspective
Sample-Efficient Multi-Agent RL: An Optimization Perspective
Nuoya Xiong
Zhihan Liu
Zhaoran Wang
Zhuoran Yang
21
1
0
10 Oct 2023
On the Complexity of Multi-Agent Decision Making: From Learning in Games
  to Partial Monitoring
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring
Dylan J. Foster
Dean Phillips Foster
Noah Golowich
Alexander Rakhlin
32
14
0
01 May 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
35
19
0
04 Oct 2022
Regret Bounds for Information-Directed Reinforcement Learning
Regret Bounds for Information-Directed Reinforcement Learning
Botao Hao
Tor Lattimore
OffRL
23
17
0
09 Jun 2022
1