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Abstract: Poker is an imperfect information game that requires decision-making under conditions of uncertainty, much like many real-world applications. Strong poker players have to skillfully deal with multiple opponents, risk management, opponent modeling, deception and unreliable information. These features make poker an interesting area for Arti cial Intelligence research. This thesis describes work done on improving the knowledge representation, betting strategy, and opponent modeling of Loki, a... (Update)
Context of citations to this paper: More
...enhancements, and the e ects of di erent game conditions. We refer the reader to our previous publications for further details [5, 6, 7, 10, 24, 25, 27]. 8 A Framework for Non Deterministic GamePlaying Programs Using simulations for non deterministic games is not new. Consider...
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BibTeX entry: (Update)
L. Pena. Probabilities and simulations in poker. Master's thesis, University of Alberta, 1999. http://citeseer.ist.psu.edu/677234.html More
@misc{ pena99probabilities,
author = "L. Pena",
title = "Probabilities and simulations in poker",
text = "L. Pena. Probabilities and simulations in poker. Master's thesis, University
of Alberta, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/677234.html" }
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