Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation.
Yuxin LiXinyu LiLiang GaoZhibing LuPublished in: Robotics Comput. Integr. Manuf. (2025)
Keyphrases
- batch processing
- multi agent
- reinforcement learning
- cooperative
- scheduling jobs
- multi agent systems
- low cost
- single agent
- dynamic environments
- function approximation
- intelligent agents
- agent cooperation
- multi agent reinforcement learning
- virtual organization
- multiagent systems
- state space
- learning algorithm
- machine learning
- neural network
- autonomous agents
- optimal policy
- multiple agents
- model free
- action selection
- temporal difference
- general purpose
- mobile robot
- dynamic programming
- multi agent environments