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CG
2002
Springer

Learning a Game Strategy Using Pattern-Weights and Self-play

8 years 7 months ago
Learning a Game Strategy Using Pattern-Weights and Self-play
Abstract. This paper demonstrates the use of pattern-weights in order to develop a strategy for an automated player of a non-cooperative version of the game of Diplomacy. Diplomacy is a multi-player, zerosum and simultaneous move game with imperfect information. Patternweights represent stored knowledge of various aspects of a game that are learned through experience. An automated computer player is developed without any initial strategy and is able to learn important strategic aspects of the game through self-play by storing pattern-weights and using temporal difference learning.
Ari Shapiro, Gil Fuchs, Robert Levinson
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where CG
Authors Ari Shapiro, Gil Fuchs, Robert Levinson
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