Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/65248
Author(s): Luís Filipe Teófilo
Luís Paulo Reis
Title: Building a no limit Texas hold'em poker agent based on game logs using supervised learning
Issue Date: 2011
Abstract: The development of competitive artificial Poker players is a challenge to Artificial Intelligence (AI) because the agent must deal with unreliable information and deception which make it essential to model the opponents to achieve good results. In this paper we propose the creation of an artificial Poker player through the analysis of past games between human players, with money involved. To accomplish this goal, we defined a classification problem that associates a given game state with the action that was performed by the player. To validate and test the defined player model, an agent that follows the learned tactic was created. The agent approximately follows the tactics from the human players, thus validating this model. However, this approach alone is insufficient to create a competitive agent, as generated strategies are static, meaning that they can't adapt to different situations. To solve this problem, we created an agent that uses a strategy that combines several tactics from different players. By using the combined strategy, the agentgreatly improved its performance against adversaries capable of modeling opponents.
Subject: Engenharia electrotécnica, electrónica e informática
Call Number: 64610
URI: http://hdl.handle.net/10216/65248
Source: AUTONOMOUS AND INTELLIGENT SYSTEMS
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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