Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition.
Suyoung LeeMyungsik ChoYoungchul SungPublished in: NeurIPS (2023)
Keyphrases
- learning tasks
- machine learning
- transfer learning
- meta learning
- reinforcement learning
- learning algorithm
- learning problems
- supervised learning
- machine learning algorithms
- learning experience
- kernel methods
- learning models
- multi task
- function approximation
- multi task learning
- multitask learning
- neural network
- multi label
- gaussian processes
- hypothesis space
- training data
- metric learning
- computer vision
- meta level
- function approximators
- kernel based learning methods