RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning

Huale Li, Xuan Wang, Fengwei Jia +4

Counterfactual regret minimization (CFR) is a popular method to deal with decision-making problems of two-player zero-sum games with imperfect information. Unlike existing studies…