Design and Evaluation of Reinforcement Learning Based AI Agent: A Case Study in Gaming-Reference-Cited by-同舟云学术

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Design and Evaluation of Reinforcement Learning Based AI Agent: A Case Study in Gaming

Published:2017-08-19 Issue: Volume: Page:330-339
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Jayashree P.,Ramakrishnan K.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-60618-7_33

Reference21 articles.

1. http://en.wikipedia.org/wiki/Soft_computing

2. http://en.wikipedia.org/wiki/Chopsticks_(hand_game)

3. http://www.wikihow.com/Always-Win-Chopsticks

4. Wu, L., Baldi, P.F.: A scalable machine learning approach to go. In: Advances in Neural Information Processing Systems, pp. 1521–1528 (2006)

5. Morales, E.M.: Learning playing strategies in chess. Comput. Intell. 12(1), 65–87 (1996)

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