World-class interpretable poker

DOI10.1007/s10994-022-06179-8OpenAlexW4281685852WikidataQ120689895 ScholiaQ120689895MaRDI QIDQ2102358

Alex Paskov, Dimitris J. Bertsimas

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-022-06179-8

zbMATH Keywords

pokerartificial intelligenceinterpretabilityregret minimizationoptimal decision treesdeep reinforcement learninggame solving

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• GameShrink
• DeepStack

Cites Work

• Unnamed Item
• Computing human-understandable strategies: deducing fundamental rules of poker strategy
• Lossless abstraction of imperfect information games
• DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
• Superhuman AI for heads-up no-limit poker: Libratus beats top professionals
• A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
• Optimal classification trees

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