Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty

In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. Although these methods are often effective in deterministic settings, they may lack flexibility and adaptability to navigate the uncer...

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Bibliographic Details

Published in:	IEEE Access
Main Author:	Fatima Ezzahra Achamrah
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Combinatorial optimization problems uncertainty deep reinforcement learning transfer learning vehicle routing problem
Online Access:	https://ieeexplore.ieee.org/document/10766597/