Deep Reinforcement Learning with Hierarchical Structures
Deep Reinforcement Learning with Hierarchical Structures
Siyuan Li
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Doctoral Consortium. Pages 4899-4900.
https://doi.org/10.24963/ijcai.2021/681
Hierarchical reinforcement learning (HRL), which enables control at multiple time scales, is a promising paradigm to solve challenging and long-horizon tasks. In this paper, we briefly introduce our work in bottom-up and top-down HRL and outline the directions for future work.
Keywords:
Machine Learning: Reinforcement Learning