Behavior Acquisition of Six-legged Robot Using Model-based Reinforcement Learning

概要

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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.
公益社団法人計測自動制御学会の論文