An Empirical Evaluation of Interval Estimation for Markov Decision Processes.
Alexander L. StrehlMichael L. LittmanPublished in: ICTAI (2004)
Keyphrases
- interval estimation
- markov decision processes
- finite state
- optimal policy
- state space
- reinforcement learning
- policy iteration
- transition matrices
- average cost
- collaborative filtering
- factored mdps
- reinforcement learning algorithms
- reachability analysis
- decision processes
- dynamic programming
- average reward
- planning under uncertainty
- infinite horizon
- model based reinforcement learning
- state abstraction
- decision theoretic planning
- finite horizon
- partially observable
- risk sensitive
- action space
- state and action spaces
- action sets
- data mining