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This research is concerned with the problem of obstacle avoidance for the underactuated unmanned marine vessel under unknown environmental disturbance. A concise deep reinforcement learning obstacle avoidance (CDRLOA) algorithm is proposed with the powerful deep Q-networks architecture to overcome the usability issue caused by the complicated control law in the traditional analytic approach. Furthermore,...
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