An Overview for Markov Decision Processes in Queues and Networks.
Quan-Lin LiJing-Yu MaRui-Na FanLi XiaPublished in: CoRR (2019)
Keyphrases
- markov decision processes
- state space
- optimal policy
- finite state
- transition matrices
- decision theoretic planning
- policy iteration
- dynamic programming
- reinforcement learning
- reachability analysis
- action space
- average reward
- planning under uncertainty
- finite horizon
- markov decision process
- average cost
- reinforcement learning algorithms
- factored mdps
- state and action spaces
- action sets
- model based reinforcement learning
- data mining
- infinite horizon
- discounted reward
- partially observable