Conservative Data Sharing for Multi-Task Offline Reinforcement Learning.
Tianhe YuAviral KumarYevgen ChebotarKarol HausmanSergey LevineChelsea FinnPublished in: CoRR (2021)
Keyphrases
- data sharing
- multi task
- reinforcement learning
- transfer learning
- learning problems
- multi task learning
- learning tasks
- data access
- multiple tasks
- peer to peer
- multitask learning
- information sharing
- data integration
- feature selection
- multi class
- gaussian processes
- supervised learning
- sparse learning
- machine learning
- learning process
- management system
- kernel methods
- text categorization
- active learning
- data model
- association rules
- e learning
- learning algorithm
- database