Learning Adaptation and Generalization from Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Analysis.
Joshua HoChien-Min WangChung-Ta KingYi-Hsin YouChi-Wei FengYen-Min ChenBo-Yi KuoPublished in: AIKE (2023)
Keyphrases
- reinforcement learning
- learning process
- knowledge acquisition
- learning systems
- learning algorithm
- human learning
- background knowledge
- prior knowledge
- human experts
- learning problems
- online learning
- learning capabilities
- knowledge level
- language acquisition
- human knowledge
- machine learning
- covariate shift
- knowledge representation
- domain knowledge
- expert systems
- learning tasks
- function approximation
- bayesian methods
- organizational learning
- knowledge management
- complex domains
- active learning
- learning agents
- cognitive models
- knowledge base