Metrics for Markov Decision Processes with Infinite State Spaces.
Norm FernsPrakash PanangadenDoina PrecupPublished in: UAI (2005)
Keyphrases
- markov decision processes
- state space
- optimal policy
- reinforcement learning algorithms
- dynamic programming
- reinforcement learning
- finite state
- heuristic search
- decision theoretic planning
- policy iteration
- transition matrices
- factored mdps
- planning under uncertainty
- markov chain
- markov decision process
- partially observable
- model based reinforcement learning
- finite horizon
- action space
- average cost
- decision processes
- reachability analysis
- reward function
- infinite horizon
- planning problems
- risk sensitive
- state abstraction
- state and action spaces
- continuous state spaces
- decision problems
- real valued