Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks

Shuai Han, Mehdi Dastani, Shihan Wang

Improving sample efficiency is central to Reinforcement Learning (RL), especially in environments where the rewards are sparse. Some recent approaches have proposed to specify rewa…