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: Aiming at the problems of slow convergence speed and easy to fall into local optimum of grey wolf optimization in unmanned aerial vehicle (UAV) path planning, an improved grey wolf ...
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