MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling
Zi-Qi Zhang, Tong Huang, Bin Qian, Rong Hu
Topics & Concepts
Reinforcement learningEmbeddingComputer scienceScheduling (production processes)Distributed computingJob shop schedulingArtificial intelligenceComputer networkMathematical optimizationMathematicsRouting (electronic design automation)Scheduling and Optimization AlgorithmsSmart Grid Energy ManagementElevator Systems and Control