Intelligent scheduling of discrete automated production line via deep reinforcement learning.
Daming ShiWenhui FanYingying XiaoTingyu LinChi XingPublished in: Int. J. Prod. Res. (2020)
Keyphrases
- production line
- reinforcement learning
- material handling
- production system
- multistage
- production process
- scheduling problem
- function approximation
- continuous state
- intelligent systems
- markov decision processes
- scheduling algorithm
- fully automated
- round robin
- semi automated
- response time
- continuous domains
- multiple objectives
- discrete space
- intelligent search
- continuous state and action spaces
- neural network
- multi agent
- learning algorithm
- reinforcement learning algorithms
- production planning
- model free
- lot sizing
- flexible manufacturing systems
- optimal control
- decision support
- policy search