著者

石原 弘二 大村 佑貴 堀内 匡

出版者

公益社団法人 計測自動制御学会

雑誌

計測自動制御学会論文集 (ISSN:04534654)

巻号頁・発行日

vol.49, no.3, pp.408-410, 2013 (Released:2013-03-26)

参考文献数

7

被引用文献数

1

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In this research, model-based reinforcement learning was applied to the six-legged robot. The objective for this robot was to acquire efficient walk movement by model-based reinforcement learning. By setting several constraint conditions on motors of this robot, we considered the reinforcement learning problem with three-dimensional state and action space. Through experiments, the effectiveness of our method using value iteration was revealed in comparison with Q-learning.