Deep Reinforcement Learning for Robotic Arm Control: A Survey
首发时间:2019-11-26
Abstract:Deep reinforcement learning (DRL) shows great performance in solving decision-making problems, in which an agent interacts with the environment and learns how to behavior. On the other side, complex robotics control missions offer DRL new challenging applications. This paper surveys the application of deep reinforcement learning in robotic arm control. It starts with the background of deep reinforcement learning and robotics then reviews different algorithms of DRL, introduces some typical deep reinforcement learning models for continuous control and then discusses the applications of DRL in robotic arms; finally, we will conclude the paper.
keywords: deep reinforcement learning continuous control robotic arms robot learning
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