HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem

Yun Hua, Xiangfeng Wang, Bo Jin +4

In spite of the success of existing meta reinforcement learning methods, they still have difficulty in learning a meta policy effectively for RL problems with sparse reward. In thi…