State Space Reduced Dynamic Programming for the Aircraft Sequencing Problem with Constrained Position Shifting.
Fabio FuriniMartin Philip KiddCarlo Alfredo PersianiPaolo TothPublished in: ISCO (2014)
Keyphrases
- state space
- dynamic programming
- heuristic search
- reinforcement learning
- state variables
- markov decision processes
- optimal policy
- markov chain
- dynamical systems
- stereo matching
- linear programming
- reinforcement learning algorithms
- particle filter
- action space
- position estimation
- optimal control
- aerial image sequences
- planning problems
- initial state
- markov decision problems
- state transition
- infinite horizon
- air force
- greedy algorithm
- search algorithm
- air traffic control
- continuous state spaces
- probability distribution
- goal state
- constrained problems
- position information
- lagrangian relaxation
- partially observable
- single machine