Shypd.aiThe largest open index of AI toolspytorch-drl4vrp is an Open Source & Models tool that implements deep reinforcement learning for solving the Vehicle Routing Problem. It supports both Traveling Salesman Problems and Vehicle Routing Problems.
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pytorch-drl4vrp is an open-source implementation of the deep reinforcement learning approach for solving the Vehicle Routing Problem (VRP), as detailed in the paper "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." It specifically supports both the Traveling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP). The tool is built using Python 3.6 and PyTorch, providing a framework for researchers and developers to apply deep learning techniques to optimize complex routing and logistics challenges. It includes sample tours, masking schemes for both TSP and VRP, and performance comparisons with the original paper's results, along with training time benchmarks.
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