Minimal Disclosure in Partially Observable Markov Decision Processes.
Nathalie BertrandBlaise GenestPublished in: FSTTCS (2011)
Keyphrases
- partially observable markov decision processes
- finite state
- reinforcement learning
- decision problems
- belief space
- belief state
- planning under uncertainty
- optimal policy
- dynamical systems
- continuous state
- stochastic domains
- state space
- partially observable stochastic games
- partial observability
- dynamic programming
- partially observable markov
- markov decision processes
- multi agent
- partially observable domains
- approximate solutions
- markov chain
- partially observable
- planning problems
- dec pomdps
- sequential decision making problems
- point based value iteration
- knowledge base
- special case
- probability distribution
- linear programming