Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization.
Shuqing ShiXiaobin WangDong HaoZhiyou YangHong QuPublished in: IJCNN (2022)
Keyphrases
- linear programming
- regret minimization
- game theoretic
- nash equilibrium
- game theory
- imperfect information
- computer poker
- decision problems
- equilibrium strategies
- incomplete information
- nash equilibria
- imperfect information games
- opponent modeling
- game tree search
- computer games
- monte carlo
- combinatorial optimization
- solving problems
- causal reasoning
- trust model
- test bed
- learning experience
- lower bound