Ground Delay Program Planning Using Markov Decision Processes.
Jonathan CoxMykel J. KochenderferPublished in: J. Aerosp. Inf. Syst. (2016)
Keyphrases
- markov decision processes
- macro actions
- planning under uncertainty
- decision theoretic planning
- partially observable
- state space
- optimal policy
- finite state
- dynamic programming
- reinforcement learning
- planning problems
- reachability analysis
- probabilistic planning
- transition matrices
- policy iteration
- reinforcement learning algorithms
- finite horizon
- average cost
- decision processes
- average reward
- heuristic search
- factored mdps
- model based reinforcement learning
- ai planning
- partially observable markov decision processes
- action space
- markov decision process
- least squares
- markov chain
- action sets
- utility function
- decision diagrams
- linear program
- infinite horizon
- reward function