Abstract: This paper aims to explore a new hybrid algorithm that combines the advantages of Q-learning and Deep Deterministic Policy Gradient (Deep Deterministic Policy Gradient, DDPG) algorithms to ...
Abstract: To address the problems of long computation time, low efficiency, and poor path quality in the autonomous path planning of path-finding robots in complex environments, a path planning method ...
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