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This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

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PhD Thesis

Repository for the code of thesis entitled Deep reinforcement learning-based dynamic scheduling submitted to Nanyang Technological University in partial fulfillment of the requirements for the degree of Doctor of Philosophy.

The code is created and validated by Liu Renke, PhD candidate of School of Mechanical and Aerospace Enginerring, Nanyang Technological University.

The code for experiments in Chapter 5 and 6 are stored under the folder "JSP" and "FJSP", respectively.

Thesis download: https://dr.ntu.edu.sg/handle/10356/158353

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This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

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