Reinforcement Learning of Dispatching Strategies for Large-Scale Industrial Scheduling.
Pierre TasselBenjamin KovácsMartin GebserKonstantin SchekotihinWolfgang KohlenbreinPhilipp Schrott-KostweinPublished in: ICAPS (2022)
Keyphrases
- reinforcement learning
- scheduling problem
- flexible manufacturing systems
- production scheduling
- allocation strategies
- real life
- real world
- temporal difference
- small scale
- function approximation
- resource allocation
- learning algorithm
- industrial applications
- data sets
- np hard
- optimal control
- model free
- learning agents
- markov decision process
- information systems
- control strategies
- robotic control
- exploration strategy
- industrial processes
- temporal difference learning
- multi agent
- optimal policy
- state space
- manufacturing systems
- search strategies
- dynamic environments
- load balancing