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Reinforcement learning using on-line EM algorithm
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- ISHII Shin
- Nara Institute of Science and Technology
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- SATO Masa-aki
- ATR Human Information Processing Research Laboratories
Bibliographic Information
- Other Title
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- オンラインEMアルゴリズムを用いた強化学習法
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Description
In this research report, we propose a new reinforcement learning (RL) method based on an actor-critic architecture. The actor and the critic are approximated by normalized Gausssian networks, which are trained by the on-line EM algorithm proposed in our previous paper. We apply our RL method to the task of swing-up and stabilizing a single pendulum and the task of balacing a double pendulum near the upright position. The experimental results show that our RL method can be applied to optimal control problems having continuous state/action spaces.
Journal
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- IEICE technical report. Neurocomputing
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IEICE technical report. Neurocomputing 98 (577), 41-48, 1999-02-05
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1570291227540510080
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- NII Article ID
- 110003233550
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- NII Book ID
- AN10091178
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- Text Lang
- ja
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- Data Source
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- CiNii Articles
