Fractional Transfer Learning for Deep Model-Based Reinforcement Learning.
Remo SassoMatthia SabatelliMarco A. WieringPublished in: CoRR (2021)
Keyphrases
- transfer learning
- model based reinforcement learning
- relational domains
- reinforcement learning
- markov decision processes
- learning tasks
- structure learning
- cross domain
- knowledge transfer
- labeled data
- machine learning
- multi task
- active learning
- collaborative filtering
- learning algorithm
- transfer knowledge
- semi supervised learning
- text classification
- text categorization
- machine learning algorithms
- optimal policy
- state space
- partially observable
- supervised learning
- data analysis
- unlabeled data
- pairwise
- target domain
- natural language processing
- text mining
- domain specific
- learning problems
- model selection