The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers-Reference-Cited by-同舟云学术

The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers

Published:2010 Issue: Volume: Page:543-552
ISSN:
Container-title:Parallel Problem Solving from Nature, PPSN XI
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Author:

Walȩdzik Karol,Mańdziuk Jacek

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15871-1_55

Reference20 articles.

1. Shannon, C.E.: Programming a computer for playing chess. Philosophical Magazine 41 (7th series), 256–275 (1950)

2. Turing, A.M.: Digital computers applied to games. In: Bowden, B.V. (ed.) Faster than Thought: a Symposium on Digital Computing Machines. Pitman, London (1953)

3. Newell, A., Shaw, J., Simon, H.: Chess-playing programs and the problem of complexity. IBM Journal of Research and Development 2, 320–335 (1958)

4. Samuel, A.L.: Some studies in machine learning using the game of checkers. IBM Journal of Research and Development 3, 210–229 (1959)

5. Kendall, G., Whitwell, G.: An evolutionary approach for the tuning of a chess evaluation function using population dynamics. In: Proceedings of the 2001 Congress on Evolutionary Computation, CEC 2001, pp. 995–1002. IEEE Press, Los Alamitos (2001)

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1. Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning;Advances in Intelligent Systems and Computing;2015-11-18

2. An Automatically Generated Evaluation Function in General Game Playing;IEEE Transactions on Computational Intelligence and AI in Games;2014-09