Shigenobu Kobayashi

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  • k-Certainty Exploration Method : An Action Selector on Reinforcement Learning to Identify the Environment  [in Japanese]

    MIYAZAKI Kazuteru , YAMAMURA Masayuki , KOBAYASHI Shigenobu , Kazuteru Miyazaki , Masayuki Yamamura , Shigenobu Kobayashi

    Reinforcement learning aims to adapt a system to an unkown environment according to rewards. There are two issues to handle delayed reward and uncertainty. Q-learning is a representative reinforcement …

    人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence 10(3), 454-463, 1995-05-01

    JSAI  References (22) Cited by (32)

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