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A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum
  Markov Games

A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games

17 March 2023
Anna Winnicki
R. Srikant
ArXivPDFHTML

Papers citing "A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games"

5 / 5 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
79
271
0
09 Jan 2025
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
Reward-Free Exploration for Reinforcement Learning
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
104
194
0
07 Feb 2020
Beyond the One Step Greedy Approach in Reinforcement Learning
Beyond the One Step Greedy Approach in Reinforcement Learning
Yonathan Efroni
Gal Dalal
B. Scherrer
Shie Mannor
OffRL
40
48
0
10 Feb 2018
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