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Replication of "Neural combinatorial optimization with Reinforcement Learning" for CSE493S

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Neural combinatorial optimization with reinforcement learning

Use uv with the given pyproject.toml to setup the Python environment for this project.

The simulated annealing experiments are in the tsp-sa-110625.iypnb Jupyter notebook.

The training code for the neural networks are in robot.py.

The datasets are in data/tsp, with Google drive links in data/links.txt to download the datasets.

All baseline code for the classical solvers are in the baselines/ folder.

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Replication of "Neural combinatorial optimization with Reinforcement Learning" for CSE493S

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