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A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with
  an Arbitrary Opponent
v1v2v3 (latest)

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
8 September 2021
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
ArXiv (abs)PDFHTML

Papers citing "A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent"

3 / 3 papers shown
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint
  Violation
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
K. C. Kalagarla
Rahul Jain
Pierluigi Nuzzo
243
6
0
27 Jan 2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov GamesInternational Conference on Machine Learning (ICML), 2022
Wei Xiong
Han Zhong
Chengshuai Shi
Cong Shen
Tong Zhang
228
23
0
04 Oct 2022
Online Learning for Unknown Partially Observable MDPs
Online Learning for Unknown Partially Observable MDPsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
330
24
0
25 Feb 2021
1
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