“Player of Games”, Schmid Et Al 2021

“Player of Games”⁠, Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers2021-12-06 (AlphaGo⁠, MARL; similar; bibliography)

“ReBeL: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games”, Brown Et Al 2020

“ReBeL: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games”⁠, Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong2020-07-27 (AlphaGo⁠, MARL; similar)

“Approximate Exploitability: Learning a Best Response in Large Games”, Timbers Et Al 2020

“Approximate exploitability: Learning a best response in large games”⁠, Finbarr Timbers, Edward Lockhart, Marc Lanctot, Martin Schmid, Julian Schrittwieser, Thomas Hubert, Michael Bowling2020-04-20 (RL exploration⁠, meta-learning⁠, AlphaGo⁠, MARL; similar)

“Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms”, Zhang Et Al 2019

“Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms”⁠, Kaiqing Zhang, Zhuoran Yang, Tamer Başar2019-11-24 (MARL; similar)

“Pluribus: Superhuman AI for Multiplayer Poker”, Brown & Sandholm2019

“Pluribus: Superhuman AI for multiplayer poker”⁠, Noam Brown, Tuomas Sandholm2019-07-11 (MARL; similar)

“NeuRD: Neural Replicator Dynamics”, Hennes Et Al 2019

“NeuRD: Neural Replicator Dynamics”⁠, Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Remi Munos, Julien Perolat, Marc Lanctot, Audrunas Gruslys2019-06-01 (similar)

“Α-Rank: Multi-Agent Evaluation by Evolution”, Omidshafiei Et Al 2019

“α-Rank: Multi-Agent Evaluation by Evolution”⁠, Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau2019-03-04 (AlphaGo⁠, MARL; similar)

“Deep Counterfactual Regret Minimization”, Brown Et Al 2018

“Deep Counterfactual Regret Minimization”⁠, Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm2018-11-01 (MARL; similar)

“Actor-Critic Policy Optimization in Partially Observable Multiagent Environments”, Srinivasan Et Al 2018

“Actor-Critic Policy Optimization in Partially Observable Multiagent Environments”⁠, Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi, Julien Perolat, Karl Tuyls, Remi Munos, Michael Bowling2018-10-21 (similar)

“Safe and Nested Subgame Solving for Imperfect-Information Games”, Brown & Sandholm2017

“Safe and Nested Subgame Solving for Imperfect-Information Games”⁠, Noam Brown, Tuomas Sandholm2017-05-08 (similar)

“DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker”, Moravčík Et Al 2017

“DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker”⁠, Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh2017-01-06 (AlphaGo; backlinks; similar)

“Equilibrium Approximation Quality of Current No-Limit Poker Bots”, Lisy & Bowling2016

“Equilibrium Approximation Quality of Current No-Limit Poker Bots”⁠, Viliam Lisy, Michael Bowling2016-12-22 (backlinks; similar)

“Non-Cooperative Games”, Nash1951

“Non-Cooperative Games”⁠, John Nash1951-09-01 (economics⁠, math⁠, decision theory; backlinks; similar)

Wikipedia

1. Fundamental theorem of poker

2. Poker