Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning.
Stephen KellyTatiana VoegerlWolfgang BanzhafCedric GondroPublished in: CoRR (2021)
Keyphrases
- multi task
- reinforcement learning
- multi task learning
- transfer learning
- learning problems
- learning tasks
- multitask learning
- multiple tasks
- multi class
- gaussian processes
- machine learning
- feature selection
- sparse learning
- supervised learning
- information gain
- active learning
- learning algorithm
- denoising
- knowledge discovery
- learning process