Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
Carlo D'EramoDavide TateoAndrea BonariniMarcello RestelliJan PetersPublished in: CoRR (2024)
Keyphrases
- multi task
- sharing knowledge
- reinforcement learning
- transfer learning
- learning problems
- multi task learning
- knowledge sharing
- learning tasks
- multitask learning
- multiple tasks
- multi class
- gaussian processes
- feature selection
- sparse learning
- collaborative learning
- machine learning
- information gain
- learning algorithm
- machine learning algorithms
- supervised learning
- high order
- data sets
- labeled data
- knowledge management
- learning agents
- information extraction
- erp systems
- training data
- decision trees