ebrahimpichka/attn-PG-RL-tsp
A PyTorch implementation of the attention-based Policy Gradient RL for learning to solve Travelling Salesperson Problem based on the paper https://doi.org/10.1007/978-3-319-93031-2_12
This is a tool for researchers and developers working on optimization problems. It takes a set of locations for a Traveling Salesperson Problem (TSP) and produces a route designed to be the most efficient. This is useful for anyone exploring advanced algorithmic approaches to routing and logistics.
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Use this if you are a researcher or advanced developer experimenting with deep learning and reinforcement learning to solve complex routing problems like TSP.
Not ideal if you need a production-ready, off-the-shelf solution for logistics or a simple heuristic algorithm without deep learning components.
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Last pushed
May 30, 2023
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