Acceleration of Game Learning with Prediction-Based Reinforcement Learning — Toward the Emergence of Planning Behavior

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Acceleration of Game Learning with Prediction-Based Reinforcement Learning — Toward the Emergence of Planning Behavior —

Published:2003 Issue: Volume: Page:786-793
ISSN:0302-9743
Container-title:Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003
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Author:

Ohigashi Yu,Omori Takashi,Morikawa Koji,Oka Natsuki

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44989-2_94

Reference7 articles.

1. Sutton, R.S., Learning to predict by the method of temporal differences, Machine Learning, 3, pp. 9–44, 1988.

2. Sutton, R.S. and Barto, A.G., Reinforcement Learning: An Introduction, MIT Press, Cambridge, MA, 1998.

3. Yasuharu Koike and Kenji Doya, A Driver Model Based on Reinforcement Learning with Multiple-Step State Estimation, IEICE Transactions, Vol. J84-D-II,No. 2, pp. 370–379.

4. Kazuyuki Samejima, Ken’ichi Katagiri, Kenji Doya and Mituo Kawato, Multiple Model-based Reinforcement Learning of Nonlinear Control, IEICE Transactions, Vol. J83-DII,No. 9, pp. 2092–2106.

5. Christian Balkenius and Jan Moren, Dynamics of a Classical Conditioning Model, ICANN 98, Perspectives in Neural Computing, Springer-Verlag, 1999.

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