Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling.
Till PorrmannMichael RömerPublished in: CPAIOR (2021)
Keyphrases
- learning algorithm
- activity theory
- learning process
- learning systems
- connectionist networks
- learning problems
- online learning
- supervised learning
- probabilistic model
- resource allocation
- learning tasks
- dynamic programming
- scheduling algorithm
- incremental learning
- reinforcement learning
- spiking neural networks
- feature selection