Solving Robotics Tasks with Prior Demonstration via Exploration-Efficient Deep Reinforcement Learning

Chengyandan Shen, Christoffer Sloth

This paper proposes an exploration-efficient Deep Reinforcement Learning with Reference policy (DRLR) framework for learning robotics tasks that incorporates demonstrations. The DR…