Dynamic job shop scheduling using deep reinforcement learning

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

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...