Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning.
In-Beom ParkJonghun ParkPublished in: IEEE Trans. Cybern. (2023)
Keyphrases
- reinforcement learning
- wafer fabrication
- scheduling problem
- state space
- function approximation
- optimal policy
- lightweight
- resource allocation
- markov decision processes
- resource constraints
- temporal difference
- scheduling algorithm
- real time
- optimal control
- high density
- machine learning
- semiconductor manufacturing
- dynamic scheduling
- flexible manufacturing systems
- round robin
- reinforcement learning algorithms
- optimal solution
- model free
- web scale
- markov decision process
- function approximators
- transfer learning
- real time database systems
- multi agent
- high speed
- dynamic programming