Stochastic Regret Minimization in Extensive-Form Games

19 February 2020

Papers citing "Stochastic Regret Minimization in Extensive-Form Games"

7 / 7 papers shown

Title
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games Zihan Ding DiJia Su Qinghua Liu Chi Jin 33 3 0 18 Jul 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent Yu Bai Chi Jin Song Mei Ziang Song Tiancheng Yu OffRL 52 19 0 30 May 2022
Generalized Bandit Regret Minimizer Framework in Imperfect Information Extensive-Form Game Lin Meng Yang Gao 39 1 0 11 Mar 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information Yunru Bai Chi Jin Song Mei Tiancheng Yu 21 26 0 03 Feb 2022
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael H. Bowling 18 3 0 29 Oct 2021
Model-Free Learning for Two-Player Zero-Sum Partially Observable Markov Games with Perfect Recall Tadashi Kozuno Pierre Ménard Rémi Munos Michal Valko 22 18 0 11 Jun 2021
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 28 53 0 18 Jun 2020