Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language

Zhourui Guo, Meng Yao, Yang Yu +1

Reinforcement learning is a powerful technique for learning from trial and error, but it often requires a large number of interactions to achieve good performance. In some domains,…