An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-adaptive Systems.
Guoxin SuTaolue ChenYuan FengDavid S. RosenblumP. S. ThiagarajanPublished in: FASE (2016)
Keyphrases
- markov decision processes
- decision making
- state space
- decision processes
- finite state
- dynamic programming
- reinforcement learning
- decentralized control
- policy iteration
- optimal policy
- decision theoretic planning
- infinite horizon
- finite horizon
- decision makers
- transition matrices
- planning under uncertainty
- markov decision process
- average cost
- partially observable
- risk sensitive
- influence diagrams
- supply chain
- state and action spaces
- data mining