Dynamic Workflow Composition using Markov Decision Processes.
Prashant DoshiRichard GoodwinRama AkkirajuKunal VermaPublished in: ICWS (2004)
Keyphrases
- markov decision processes
- optimal policy
- state space
- finite state
- reinforcement learning
- decision theoretic planning
- dynamic programming
- reachability analysis
- transition matrices
- factored mdps
- average reward
- finite horizon
- model based reinforcement learning
- reinforcement learning algorithms
- average cost
- planning under uncertainty
- policy iteration
- action space
- risk sensitive
- infinite horizon
- decision processes
- action sets
- state and action spaces
- reward function
- model checking
- interval estimation