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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold’em
verfasst von : Jonathan Rubin, Ian Watson
Erschienen in: Case-Based Reasoning. Research and Development
Verlag: Springer Berlin Heidelberg
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In previous papers we have presented our autonomous poker playing agent (
SARTRE
) that uses a
memory-based
approach to create a betting strategy for two-player, limit Texas Hold’em.
SARTRE
participated in the 2009 IJCAI Computer Poker Competition where the system was thoroughly evaluated by challenging a range of other computerised opponents. Since the competition
SARTRE
has undergone case-based maintenance. In this paper we present results from the 2009 Computer Poker Competition and describe the latest modifications and improvements to the system. Specifically, we investigate two claims: the first that
modifying the solution representation results in changes to the problem coverage
and the second that
different policies for re-using solutions leads to changes in performance
. Three separate
solution re-use policies
for making betting decisions are introduced and evaluated. We conclude by presenting results of self-play experiments between the
pre
and
post
maintenance systems.