An evolutionary approach for the tuning of a chess evaluation function using population dynamics

Proceedings of the IEEE Conference on Evolutionary Computation, ICEC

Volumn 2, Issue , 2001, Pages 995-1002

  Kendall, G ^a   Whitwell, G ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAME THEORY; ITERATIVE METHODS; LEARNING SYSTEMS; PERSONAL COMPUTERS;

POPULATION DYNAMICS;

EVOLUTIONARY ALGORITHMS;

EID: 0034870903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Adaptive learning for poker
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4. Anaconda defeats hoyle 6-0: A case study competing an evolved checkers program against commercially available software
5. Reinforcement learning: A survey
6. An analysis of alpha beta pruning
7. Evolutionary algorithms for reinforcement learning
8. Coevolution of a backgammon player
9. Some studies in machine learning using the game of checkers
10. Exploiting coalition in co-evolutionary learning
11. Programming a computer for playing chess
12. Learning to predict by the methods of temporal differences
13. TD-Gammon, a self-teaching backgammon program, achieves master-level play
14. Learning to play the game of chess