Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning

Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha

One of the key challenges to deep reinforcement learning (deep RL) is to ensure safety at both training and testing phases. In this work, we propose a novel technique of unsupervis…