Active Learning of Dynamic Bayesian Networks in Markov Decision Processes.
Anders JonssonAndrew G. BartoPublished in: SARA (2007)
Keyphrases
- markov decision processes
- dynamic bayesian networks
- active learning
- bayesian networks
- state space
- optimal policy
- structure learning
- learning algorithm
- reinforcement learning
- transition matrices
- state variables
- approximate inference
- stochastic processes
- particle filtering
- policy iteration
- dynamic programming
- transfer learning
- semi supervised
- machine learning
- decision theoretic planning
- training set
- supervised learning
- labeled data
- learning process
- semi supervised learning
- probabilistic inference
- human motion
- image sequences
- graphical models