考虑劣化维护的单机调度深度强化学习模型和算法
陈勇,杜习之,姜一炜,易文超,裴植,纪祖臻

Deep reinforcement learning models and algorithms for single-machine scheduling considering deteriorated maintenance
Yong CHEN,Xizhi DU,Yiwei JIANG,Wenchao YI,Zhi PEI,Zuzhen JI
表 10 不同方法的Friedman 检验排序结果
Tab.10 Sorting results of Friedman test by different methods
规模方法MinMean
中位数秩和中位数秩和
7PPO2931.8102957.310
7MDD-M2945.0153363.924
7A2C3027.4183058.814
7DQN3672.7363819.031
7SPT-M3263.9373633.036
7CR-M3258.3413644.542
7EDD-M4258.6454649.844
7MST-M4263.8524837.552
7FCFS-M4534.5615040.862
p1=0.00p2=0.00