Allocating Services to Applications using Markov Decision Processes.
Hadi BannazadehAlberto Leon-GarciaPublished in: SOCA (2007)
Keyphrases
- markov decision processes
- reinforcement learning
- dynamic programming
- state space
- optimal policy
- finite state
- transition matrices
- policy iteration
- reachability analysis
- planning under uncertainty
- web services
- factored mdps
- decision theoretic planning
- partially observable
- risk sensitive
- action sets
- markov decision process
- finite horizon
- state and action spaces
- infinite horizon
- model based reinforcement learning
- decision processes
- average reward
- state abstraction
- reinforcement learning algorithms
- resource allocation
- service composition
- action space
- discounted reward