Deep reinforcement learning-based dynamic scheduling

Attempts to address the production scheduling problem thus far rely on simplifying assumptions, such as static environment and inflexible size of the problem, which compromises the schedule performance in practice due to many unpredictable disruptions to the system. Thus, the study of scheduling in...

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Bibliographic Details
Main Author: Liu, Renke
Other Authors: Rajesh Piplani
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158353
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Institution: Nanyang Technological University
Language: English