“‘Poker AI’ Tag”,2019-12-20

Bibliography for tag reinforcement-learning/imperfect-information/poker, most recent first: 15 annotations (parent).

• See Also
• Links
  • “Player of Games”, Schmid et al 2021
  • “Measuring Skill and Chance in Games”, Duersch et al 2020
  • “ReBeL: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games”, Brown et al 2020
  • “Approximate Exploitability: Learning a Best Response in Large Games”, Timbers et al 2020
  • “Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms”, Zhang et al 2019
  • “Pluribus: Superhuman AI for Multiplayer Poker”, Brown & Sandholm2019
  • “NeuRD: Neural Replicator Dynamics”, Hennes et al 2019
  • “Α-Rank: Multi-Agent Evaluation by Evolution”, Omidshafiei et al 2019
  • “Deep Counterfactual Regret Minimization”, Brown et al 2018
  • “Actor-Critic Policy Optimization in Partially Observable Multiagent Environments”, Srinivasan et al 2018
  • “Safe and Nested Subgame Solving for Imperfect-Information Games”, Brown & Sandholm2017
  • “DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker”, Moravčík et al 2017
  • “Equilibrium Approximation Quality of Current No-Limit Poker Bots”, Lisy & Bowling2016
  • “Deep Reinforcement Learning from Self-Play in Imperfect-Information Games”, Heinrich & Silver2016
  • “Non-Cooperative Games”, Nash1951
  • Wikipedia
• Bibliography