Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition.
Jeong-Hoon LeeJongeun ChoiPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- hierarchical reinforcement learning
- temporal difference
- hierarchical model
- case study
- high level
- multi agent
- model free
- hierarchical clustering
- real time
- temporal difference learning
- function approximation
- state space
- learning process
- web service composition
- information systems
- machine learning
- reinforcement learning methods
- multi agent reinforcement learning
- database
- robotic control