Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.
Taylor W. KillianSamuel DaultonFinale Doshi-VelezGeorge Dimitri KonidarisPublished in: NIPS (2017)
Keyphrases
- markov decision processes
- transfer learning
- reinforcement learning
- state space
- learning tasks
- knowledge transfer
- optimal policy
- transition matrices
- finite state
- cross domain
- decision theoretic planning
- labeled data
- domain adaptation
- policy iteration
- partially observable
- infinite horizon
- machine learning
- active learning
- high dimensional
- reinforcement learning algorithms
- dynamic programming
- structure learning
- target domain
- state abstraction
- average cost
- search algorithm
- machine learning algorithms
- information retrieval
- decision trees
- training data
- multi task
- function approximation
- average reward
- search space
- domain specific