Active Learning in Partially Observable Markov Decision Processes.
Robin JaulmesJoelle PineauDoina PrecupPublished in: ECML (2005)
Keyphrases
- partially observable markov decision processes
- active learning
- finite state
- reinforcement learning
- planning under uncertainty
- dynamical systems
- belief state
- decision problems
- optimal policy
- dynamic programming
- continuous state
- belief space
- partially observable stochastic games
- state space
- markov decision processes
- planning problems
- stochastic domains
- machine learning
- partially observable markov
- partial observability
- partially observable
- sequential decision making problems
- semi supervised
- learning algorithm
- labeled data
- partially observable domains
- multi agent
- markov chain
- training set
- decision trees
- model checking
- heuristic search
- dynamic environments
- dec pomdps