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In this paper we consider autonomous control of a snake-like robot using reinforcement learning. Conventional methods of reinforcement learning have significant problems in practical use. That is curse of dimensionally and lack of generality. To solve these problems, we focus on design of the mechanical body of the snake-like robot, and abstract necessary small state-action space from complex environments...
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