Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes.
Taylor W. KillianSamuel DaultonGeorge Dimitri KonidarisFinale Doshi-VelezPublished in: CoRR (2017)
Keyphrases
- markov decision processes
- transfer learning
- reinforcement learning
- state space
- optimal policy
- finite state
- knowledge transfer
- learning tasks
- labeled data
- policy iteration
- dynamic programming
- transition matrices
- decision theoretic planning
- semi supervised learning
- transfer knowledge
- cross domain
- unlabeled data
- action space
- partially observable
- reinforcement learning algorithms
- infinite horizon
- active learning
- collaborative filtering
- target domain
- machine learning
- average reward
- state abstraction
- domain specific
- machine learning algorithms
- structure learning
- domain adaptation
- temporal difference
- semi supervised
- data mining