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In this paper, we propose the design of a robot with a snake-like body based on a test environment. We explore the abstraction of state-action spaces for reinforcement learning. Additionally, we discuss the versatility of the proposed mechanism by showing that different tasks can be completed by simply changing the reward of the reinforcement learning. Finally, we mention the importance of a body...
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