Shypd.aiThe largest open index of AI toolsVRP-RL is an open-source reinforcement learning tool that solves the Vehicle Routing Problem (VRP) and Traveling Salesman Problem (TSP). It provides a framework for training and evaluating models for route optimization.
Trending
About
VRP-RL is an open-source project that leverages reinforcement learning to tackle complex combinatorial optimization problems such as the Vehicle Routing Problem (VRP) and the Traveling Salesman Problem (TSP). Developed by OptMLGroup, this tool provides a robust framework for researchers and developers to implement, train, and evaluate reinforcement learning models for route optimization. It is built using TensorFlow and includes all necessary dependencies like NumPy and tqdm. Users can easily run the code for both training and inference, with options to specify GPU usage, model directories, and inference types (batch or single mode). The project also logs all results, making it suitable for experimental research and performance analysis in the field of operational research and artificial intelligence.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
Also listed in
