The challenge of poker

DOI10.1016/S0004-3702(01)00130-8zbMath0982.68125MaRDI QIDQ5958207

Jonathan Schaeffer, Duane Szafron, Darse Billings, Aaron Davidson

Publication date: 3 March 2002

Published in: Artificial Intelligence (Search for Journal in Brave)

zbMATH Keywords

neural networkssimulationscomputer pokerimperfect informationopponent modeling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Game theory (91A99) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

Learning to bid in bridge ⋮ World-championship-caliber Scrabble* ⋮ HISTORY AND TERRITORY HEURISTICS FOR MONTE CARLO GO ⋮ Multi-agent reinforcement learning: a selective overview of theories and algorithms

Uses Software

• GIB

Cites Work

• Representations and solutions for game-theoretic problems
• Generalization learning techniques for automating the learning of heuristics
• Non-cooperative games
• Studies in machine cognition using the game of poker
• Computation of Optimal Poker Strategies
• Programming backgammon using self-teaching neural nets
• World-championship-caliber Scrabble*
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