Bibliography:

1. ​ ‘hidden-information game’ tag

2. ​ Player of Games

3. ​ Measuring skill and chance in games

4. ​ ReBeL: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

5. ​ Approximate exploitability: Learning a best response in large games

6. ​ Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

7. ​ Pluribus: Superhuman AI for multiplayer poker

8. ​ NeuRD: Neural Replicator Dynamics

9. ​ α-Rank: Multi-Agent Evaluation by Evolution

10. ​ Deep Counterfactual Regret Minimization

11. ​ Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

12. ​ Safe and Nested Subgame Solving for Imperfect-Information Games

13. ​ DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

14. ​ Equilibrium Approximation Quality of Current No-Limit Poker Bots

15. ​ Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

16. ​ Non-Cooperative Games

17. ​ Player of Games

18. ​ https%253A%252F%252Farxiv.org%252Fabs%252F2112.03178%2523deepmind.html

19. Wikipedia Bibliography:

    1. ​ Fundamental Theorem of Poker

    2. ​ Poker

    3. ​ Michael Bowling