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The paper proposes a novel learning model, called the distributed reinforcement learning model (DRLM), that allows distributed agents to learn multiple interrelated tasks in a real-time environment. DRLM consists of a hidden task model (HTM) used for dealing with incomplete perception, a composite state model (CSM) for interdependency between tasks, and a Q-learning subsystem (QLS) for updating action...
Based on the analysis on the scheduling characteristics of the semiconductor manufacturing fabrication lines, we propose a TOC(Theory-of-Constraints) combining ACO(Ant Colony Optimization) sequencing method. The method firstly determines the bottlenecks of a semiconductor manufacturing fabrication line, and then applies an ACO algorithm to obtain the optimized jobs processing priority sequence of...
The application of main radionuclide in the department of nuclear medicine in a large-scale Hospital are introduced; Radiation levels of gamma-rays and gamma-ray in all the workplace are monitored. It has been found that the highest gamma-ray radiation level is in the Leaching-packing room, and the highest gamma-ray radiation level is in the temporary waste storage box. Possible impacts of main radionuclide...
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