An Argument for the Bayesian Control of Partially Observable Markov Decision Processes.
Erik VargoRandy CogillPublished in: IEEE Trans. Autom. Control. (2014)
Keyphrases
- partially observable markov decision processes
- planning under uncertainty
- bayesian reinforcement learning
- reinforcement learning
- finite state
- belief space
- bayesian networks
- partial observability
- belief state
- markov decision processes
- optimal policy
- control system
- continuous state
- decision problems
- planning problems
- dynamic programming
- dynamical systems
- partially observable
- computational complexity
- partially observable domains
- decision making
- partially observable stochastic games