Dynamic job shop scheduling using deep reinforcement learning

Dynamic job shop scheduling using deep reinforcement learning

This FYP project aims to improve on the make span in dynamic job shop scheduling using deep reinforcement learning techniques and testing it with different neural network configurations and comparing the results with heuristic methods. The deep reinforcement learning algorithm is mainly Rainbow Deep...

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Bibliographic Details
Main Author: Tan, Hong Ming
Other Authors: Shu Jian Jun
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Online Access:https://hdl.handle.net/10356/177529

Internet

https://hdl.handle.net/10356/177529

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