Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments
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DOI: 10.1109/tcyb.2019.2939174
Abstract: Deep deterministic policy gradient (DDPG) has been proved to be a successful reinforcement learning (RL) algorithm for continuous control tasks. However, DDPG still suffers from data insufficiency and training inefficiency, especially, in computationally complex environments.… read more here.
Keywords: computationally complex; deep deterministic; control; deterministic policy ... See more keywords