Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning.
Xiaohan WangLin ZhangTingyu LinChun ZhaoKunyu WangZhen ChenPublished in: Robotics Comput. Integr. Manuf. (2022)
Keyphrases
- multi agent reinforcement learning
- scheduling problem
- processing times
- flowshop
- job shop
- distributed control
- batch processing
- multi agent
- completion times
- complex environments
- single machine
- parallel machines
- resource allocation
- multi agent systems
- autonomous agents
- tabu search
- dynamic environments
- stochastic games
- mobile robot
- learning algorithm
- cooperative
- reinforcement learning