Abstract: This paper presents a novel approach to learning free terminal time closed-loop control for robotic manipulation tasks, enabling dynamic adjustment of task duration and control inputs to ...
Abstract: Deep actor-critic (DAC) algorithms, which combine actor-critic with deep neural network (DNN), have been among the most prevalent reinforcement learning algorithms for decision-making ...
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