# AI for TSP Competition

## Goals

In the AI for TSP competition, we try to solve optimization problems using machine learning. The competition will be hosted at the [Data Science meets Optimization workshop](https://sites.google.com/view/ijcai2021dso) at IJCAI21 and consists of two tracks:

* Online supervised learning using surrogate models
* Reinforcement learning

The goal of this competition is to strengthen the relationship between the machine learning field and the optimization field. You can learn more about the competition [here](https://tspcompetition.com/competition).

## Prizes

The total prize money is 1000€. :euro::euro::euro::euro::euro:&#x20;

* First place (both tracks): 350€.&#x20;
* Second place (both tracks): 150€.&#x20;
* We will also sponsor one IJCAI workshop registration per invited team for the winners who want to present their work at the Data Science meets Optimization workshop. :nerd:&#x20;

## Timeline

* May 7: Start of the tryout period
* ~~May 21: Competition starts~~  **May 27: Competition starts**
* July 5: Submission deadline (validation)
* July 12: Submission deadline (test)
* August 9: Winners are contacted privately
* August 21/22: Public announcement of winners

## Whitepaper

For more details about the competition, please refer to [this document](https://tspcompetition.com/TSP_Competition.pdf).

## Official Repository

Check out our [Github repository.](https://github.com/paulorocosta/ai-for-tsp-competition)
