Learning from Scenarios for Repairable Stochastic Scheduling.
Kim van den HoutenDavid M. J. TaxEsteban FreydellMathijs de WeerdtPublished in: CPAIOR (2) (2024)
Keyphrases
- learning algorithm
- scheduling problem
- supervised learning
- knowledge acquisition
- reinforcement learning
- learning process
- inductive learning
- learning scenarios
- response time
- reliability analysis
- learning scheme
- learning tasks
- learning systems
- unsupervised learning
- active learning
- prior knowledge
- bayesian networks
- decision trees