DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess-Reference-Cited by-同舟云学术

DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess

Published:2016 Issue: Volume: Page:88-96
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2016
language:
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Author:

David Omid E.,Netanyahu Nathan S.,Wolf Lior

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-44781-0_11

Reference17 articles.

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2. Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H.: Greedy layer-wise training of deep networks. In: NIPS (2007)

3. David, O.E., Koppel, M., Netanyahu, N.S.: Genetic algorithms for mentor-assisted evaluation function optimization. In: GECCO (2008)

4. David, O.E., van den Herik, H.J., Koppel, M., Netanyahu, N.S.: Simulating human grandmasters: evolution and coevolution of evaluation functions. In: GECCO (2009)

5. David, O.E., Koppel, M., Netanyahu, N.S.: Expert-driven genetic algorithms for simulating evaluation functions. Genet. Program. Evolvable Mach. 12(1), 5–22 (2011)

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