A Deep Reinforcement Learning Algorithm for Robotic Manipulation Tasks in Simulated Environments

摘要

Industrial robots are used in a variety of industrial process tasks, and due to the complexity of the environment in which these systems are deployed, more robust and accurate control methods are required.