Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control

Ke Lin, Liang Gong, Xudong Li +6

Although deep reinforcement learning (DRL) algorithms have made important achievements in many control tasks, they still suffer from the problems of sample inefficiency and unstabl…