Before revision:  To further advance the technology in this area, in this paper we propose a novel framework to incorporate human prior knowledge in the training of DRL agents .
After revision:  However, the low sample efficiency and difficulty of designing reward functions for DRL would hinder its applications in practice. In light of this, this area, in this paper we propose a novel framework to incorporate human prior knowledge in the training of DRL agents .