# PO Algorithm Codebase

This repository contains the implementation of the Preference Optimization (PO) algorithm.

## Installation

Set up the environment using Conda and install the dependencies:

```bash
conda create -n po_env python=3.9
conda activate po_env
pip install -r requirements.txt
```

## Running the Code

### Test a Trained Model
To test a trained model, run:

```bash
cd TSP/POMO
python test_n100.py
```

### Train a New Model
To train a model, execute:

```bash
cd TSP/POMO
python train_n100_po.py
```