An analysis of model-based Interval Estimation for Markov Decision Processes.
Alexander L. StrehlMichael L. LittmanPublished in: J. Comput. Syst. Sci. (2008)
Keyphrases
- interval estimation
- markov decision processes
- collaborative filtering
- optimal policy
- state space
- reinforcement learning
- finite state
- reinforcement learning algorithms
- action space
- partially observable
- model based reinforcement learning
- reachability analysis
- dynamic programming
- planning under uncertainty
- decision theoretic planning
- finite horizon
- decision theoretic
- transition matrices