Metrics for Finite Markov Decision Processes.
Norm FernsPrakash PanangadenDoina PrecupPublished in: AAAI (2004)
Keyphrases
- markov decision processes
- state and action spaces
- state space
- optimal policy
- dynamic programming
- action space
- reinforcement learning
- policy iteration
- finite state
- finite horizon
- decision theoretic planning
- risk sensitive
- planning under uncertainty
- partially observable
- average reward
- decision processes
- transition matrices
- model based reinforcement learning
- infinite horizon
- markov decision process
- reinforcement learning algorithms
- reachability analysis
- average cost
- action sets
- factored mdps
- stationary policies
- decision problems
- monte carlo
- decision diagrams
- policy evaluation
- reward function