Art

J-GLOBAL ID：200902112359006149   Reference number：00A0259333

A recognization method of environmental change on reinforcement learning.

強化学習における環境変化認識法

Author (4)： YAMAMOTO SHIN'YA (慶応大 大学院) ,  YAMAGUCHI FUMIHIKO (慶応大 大学院) ,  SAITO HIROAKI (慶応大 大学院) ,  NAKANISHI MASAKAZU (慶応大 大学院)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 99  Issue： 534(AI99 77-89)  Page： 31-36  Publication year： Jan. 13, 2000 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *reinforcement learning ,...
Semi thesaurus term： 確率的傾斜法

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JST classification (2)： Artificial intelligence  (JE08000Z) ,  System and control theory in general  (IA02010H)

Reference (6)：

• MINATO, T. Environmental change adaptation for mobile robot navigation. Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1998. 1998, 1859-1864
• KIMURA, H. Reinforcement Learning in POMDPs with Function Approximation. Proc. of the 14th Int. Conf. on Machine Learning, 1997. 1997
• TANAKA, F. An approach to lifelong reinforcement learning through multiple environments. 6th European Workshop on Learning Robots, 1997. 1997, 93-99
• 木村元. 部分観測マルコフ決定過程下での強化学習 : 確率的傾斜法による接近. 人工知能学会誌. 1996, 11, 6, 761-768
• KIMURA, H. Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward. Proc. of the 12th Int. Conf. on Machine Learning, 1995. 1995, 295-303

Terms in the title (2)： 強化学習 ,  環境変化