Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs.
Guan-Ting LiuEn-Pei HuPu-Jen ChengHung-Yi LeeShao-Hua SunPublished in: ICML (2023)
Keyphrases
- reinforcement learning
- learning process
- learning algorithm
- learning systems
- learning problems
- active learning
- multi agent
- supervised learning
- knowledge acquisition
- function approximation
- learning tasks
- learning capabilities
- temporal difference learning
- state abstraction
- automatically learned
- neural network
- bayesian networks
- learning analytics
- actor critic