Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes.
Taylor W. KillianGeorge Dimitri KonidarisFinale Doshi-VelezPublished in: CoRR (2016)
Keyphrases
- markov decision processes
- transfer learning
- reinforcement learning
- finite state
- learning tasks
- state space
- knowledge transfer
- policy iteration
- dynamic programming
- active learning
- labeled data
- optimal policy
- cross domain
- collaborative filtering
- reinforcement learning algorithms
- decision theoretic planning
- average reward
- structure learning
- domain adaptation
- transition matrices
- partially observable
- machine learning
- text categorization
- transfer knowledge
- multi task
- reward function
- data sets
- machine learning algorithms
- semi supervised learning
- text classification
- learning algorithm
- function approximation
- action space
- temporal difference
- infinite horizon
- average cost
- real time dynamic programming