Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation

Hao Zhang, Hao Wang, Xiucai Huang +2

Reinforcement Learning (RL) based methods have been increasingly explored for robot learning. However, RL based methods often suffer from low sampling efficiency in the exploration…