Reachability Analysis of Quantum Markov Decision Processes.
Shenggang YingMingsheng YingPublished in: CoRR (2014)
Keyphrases
- reachability analysis
- markov decision processes
- finite state
- partially observable
- state space
- optimal policy
- reinforcement learning
- dynamic programming
- decision theoretic planning
- policy iteration
- transition matrices
- planning under uncertainty
- average cost
- infinite horizon
- reinforcement learning algorithms
- reward function
- markov decision process
- average reward
- model based reinforcement learning
- action space
- action sets
- machine learning
- decision processes
- model checking
- linear programming
- timed automata
- state and action spaces
- probability distribution