Finite-Memory Suboptimal Design for Partially Observed Markov Decision Processes.
Chelsea C. White IIIWilliam T. SchererPublished in: Oper. Res. (1994)
Keyphrases
- markov decision processes
- partially observed
- state and action spaces
- reinforcement learning
- state space
- optimal policy
- decision processes
- finite state
- decision theoretic planning
- policy iteration
- reachability analysis
- action space
- planning under uncertainty
- finite horizon
- risk sensitive
- partially observable
- markov decision process
- dynamic programming