Using Markov decision processes to solve stochastic gate assignment problem.
Oussama AounAbdellatif El AfiaPublished in: GOL (2014)
Keyphrases
- markov decision processes
- state space
- finite state
- transition matrices
- optimal policy
- planning under uncertainty
- policy iteration
- dynamic programming
- decision theoretic planning
- average cost
- reinforcement learning
- reachability analysis
- average reward
- action space
- decision processes
- finite horizon
- markov decision process
- action sets
- reinforcement learning algorithms
- factored mdps
- infinite horizon
- semi markov decision processes
- policy iteration algorithm
- risk sensitive
- continuous state spaces
- model based reinforcement learning
- learning algorithm
- markov decision problems
- continuous state
- state abstraction
- np hard