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Found 5 papers, 3 papers with code
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
This paper introduces a reinforcement learning approach to optimize the Stochastic Vehicle Routing Problem with Time Windows (SVRP), focusing on reducing travel costs in goods delivery.
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
This study addresses a gap in the utilization of Reinforcement Learning (RL) and Machine Learning (ML) techniques in solving the Stochastic Vehicle Routing Problem (SVRP) that involves the challenging task of optimizing vehicle routes under uncertain conditions.
Learning to generalize Dispatching rules on the Job Shop Scheduling
Current models on the JSP do not focus on generalization, although, as we show in this work, this is key to learning better heuristics on the problem.
AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography
With the development of deep learning, scientists actively started working on developing machine-learning-based approaches to identify physical properties without any manual experiments.
Robust Reinforcement Learning on Graphs for Logistics optimization
Keywords: Graph Neural Network (GNN), Logistics optimization, Reinforcement Learning
