Metrics for Finite Markov Decision Processes.
Norm FernsPrakash PanangadenDoina PrecupPublished in: UAI (2004)
Keyphrases
- markov decision processes
- state and action spaces
- finite state
- state space
- optimal policy
- reinforcement learning
- transition matrices
- policy iteration
- stationary policies
- action space
- decision theoretic planning
- dynamic programming
- infinite horizon
- reinforcement learning algorithms
- reachability analysis
- risk sensitive
- factored mdps
- finite horizon
- average reward
- planning under uncertainty
- decision processes
- data mining
- markov decision process
- finite number
- total reward
- semi markov decision processes
- monte carlo
- multistage
- collaborative filtering
- interval estimation