Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
Carlo D'EramoDavide TateoAndrea BonariniMarcello RestelliJan PetersPublished in: ICLR (2020)
Keyphrases
- multi task
- sharing knowledge
- reinforcement learning
- transfer learning
- learning problems
- multi task learning
- knowledge sharing
- learning tasks
- multitask learning
- gaussian processes
- multiple tasks
- multi class
- collaborative learning
- sparse learning
- feature selection
- machine learning
- learning algorithm
- supervised learning
- machine learning algorithms
- learning agents
- text categorization
- learning models
- learning process
- data sets
- erp systems
- theoretical analysis