Learning and Using Hand Abstraction Values for Parameterized Poker Squares

Autor: Todd Neller, Colin Messinger, Zuozhi Yang
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 30
ISSN: 2374-3468
2159-5399
DOI: 10.1609/aaai.v30i1.9859
Popis: We describe the experimental development of an AI player that adapts to different point systems for Parameterized Poker Squares. After introducing the game and research competition challenge, we describe our static board evaluation utilizing learned evaluations of abstract partial Poker hands. Next, we evaluate various time management strategies and search algorithms. Finally, we show experimentally which of our design decisions most signicantly accounted for observed performance.
Databáze: OpenAIRE