Transition Entropy in Partially Observable Markov Decision Processes.
Francisco S. MeloM. Isabel RibeiroPublished in: IAS (2006)
Keyphrases
- partially observable markov decision processes
- finite state
- decision problems
- dynamical systems
- planning under uncertainty
- optimal policy
- reinforcement learning
- belief state
- continuous state
- belief space
- markov decision processes
- partially observable stochastic games
- partial observability
- dynamic programming
- multi agent
- stochastic domains
- state space
- planning problems
- partially observable markov
- partially observable
- infinite horizon
- partially observable domains
- sequential decision making problems
- model checking
- approximate solutions
- sufficient conditions
- markov chain
- probabilistic model