HoldemML: A framework to generate No Limit Hold'em Poker agents from human player strategies
Developing computer programs that play Poker at human level is considered to be challenge to the A.I research community, due to its incomplete information and stochastic nature. Due to these characteristics of the game, a competitive agent must manage luck and use opponent modeling to be successful...
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| Formato: | book |
| Idioma: | eng |
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2011
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| Texto completo: | https://hdl.handle.net/10216/65186 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/65186 |