Reachability analysis of quantum Markov decision processes.
Shenggang YingMingsheng YingPublished in: Inf. Comput. (2018)
Keyphrases
- reachability analysis
- markov decision processes
- finite state
- reinforcement learning
- state space
- optimal policy
- dynamic programming
- partially observable
- average reward
- transition matrices
- decision theoretic planning
- planning under uncertainty
- policy iteration
- average cost
- markov decision process
- reinforcement learning algorithms
- infinite horizon
- decision processes
- model based reinforcement learning
- action space
- state and action spaces
- action sets
- model checking
- optimal solution