Deep reinforcement learning for solving steelmaking-continuous casting scheduling problems under time-of-use tariffs.
Ruilin PanQiong WangJianhua CaoChunliu ZhouPublished in: Int. J. Prod. Res. (2024)
Keyphrases
- scheduling problem
- reinforcement learning
- flowshop
- function approximation
- machine learning
- state space
- model free
- single machine
- learning algorithm
- search algorithm for solving
- job shop scheduling
- processing times
- markov decision processes
- job shop scheduling problem
- solving problems
- optimal policy
- deep learning
- mobile robot
- strongly np hard
- robotic control
- search algorithm
- solve complex tasks