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» Learning to Play Chess Using Temporal Differences
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ESANN
2008
13 years 6 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
ICGA
2008
100views Optimization» more  ICGA 2008»
13 years 4 months ago
Learning the Piece Values for Three Chess Variants
A set of experiments for learning the values of chess pieces is described for the popular chess variants Crazyhouse Chess, Suicide Chess, and Atomic Chess. We follow an establishe...
Sacha Droste, Johannes Fürnkranz
ICML
2003
IEEE
13 years 9 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita
DIGRA
2005
Springer
13 years 10 months ago
Towards the unification of intuitive and formal game concepts with applications to computer chess
A general technique is proposed to deal with the formalization of intuition and human-oriented concepts in competition thinking games like chess, such as defensive play, attack, t...
Ariel Arbiser
AAAI
1997
13 years 5 months ago
From MiniMax to Manhattan
The thinking process for playing chess by computer is significantly different from that used by humans. Although computer hardware and software have evolved considerably, computer...
T. Anthony Marsland, Yngvi Björnsson