Reinforcement Learning for the Agile Earth-Observing Satellite Scheduling Problem.
Adam HerrmannHanspeter SchaubPublished in: IEEE Trans. Aerosp. Electron. Syst. (2023)
Keyphrases
- scheduling problem
- earth observing
- reinforcement learning
- iterative repair
- single machine
- flowshop
- function approximation
- tabu search
- np hard
- state space
- processing times
- model free
- minimizing makespan
- precedence constraints
- setup times
- learning algorithm
- reinforcement learning algorithms
- markov decision processes
- release dates
- remote sensing
- optimal policy
- robotic control
- maximum lateness
- supply chain management
- total tardiness
- temporal difference
- parallel machines
- action selection
- development process
- information systems
- multi agent
- orbit determination
- earliness tardiness
- software development
- transfer learning
- policy search
- permutation flowshop
- sequence dependent setup times
- optimal control
- learning tasks
- agile software development
- supervised learning
- project management
- action space