Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling.
Xuan JingXifan YaoMin LiuJiajun ZhouPublished in: J. Intell. Manuf. (2024)
Keyphrases
- job shop scheduling
- multi agent reinforcement learning
- job shop scheduling problem
- convolutional network
- scheduling problem
- graph model
- convolutional neural networks
- multi agent
- combinatorial optimization problems
- multi agent learning
- resource constraints
- reinforcement learning
- graph structure
- learning agents
- weighted graph
- random walk
- bipartite graph
- coarse to fine
- multi agent systems
- cooperative
- neural network
- benchmark problems
- knapsack problem
- stochastic games
- feature extractor
- computer vision
- machine learning