Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation
Fields of Study & Subjects
Scheduling and Optimization Algorithms
Reinforcement Learning in Robotics
Smart Grid Energy Management
Publication details
- Journal / source
- Science China Information Sciences
- Publisher
- Springer Science and Business Media LLC
- Volume
- 69
- Issue
- 7
- Publication date
- 15 June 2026
- Language
- EN