Asymptotic Optimality of Finite Approximations to Markov Decision Processes with General State and Action Spaces.
Naci SaldiSerdar YükselTamás LinderPublished in: CoRR (2015)
Keyphrases
- state and action spaces
- markov decision processes
- asymptotic optimality
- action space
- state space
- reinforcement learning
- finite state
- optimal policy
- asymptotically optimal
- special case
- markov decision problems
- dynamic programming
- policy iteration
- average reward
- planning under uncertainty
- decision theoretic
- partially observable markov decision process
- partially observable
- average cost
- infinite horizon
- markov decision process
- sufficient conditions
- decision processes