---

ConnectX Simulation Competition

Welcome to the ConnectX Simulation Competition repository! This project is part of a beta-version simulation competition hosted on Kaggle, where participants compete against a set of rules using Python submissions.

Overview

This competition challenges participants to develop an AI agent capable of playing the game ConnectX. The objective is to connect a certain number of checkers in a row—horizontally, vertically, or diagonally—before the opponent does. Participants must submit a Python .py file that acts as an AI agent to play against other submissions.

Features

• Game Objective: Achieve a specified number of checkers in a row before the opponent on a game board.
• Submission: Participants submit a Python .py file containing their AI agent's logic.
• Evaluation: Submissions are evaluated based on their performance against other submissions, rather than a traditional accuracy metric.
• Rating System: Uses a Gaussian model to estimate skill levels of submissions.

Getting Started

To participate in this competition:

1. Clone the Repository: Clone this repository to your local machine.

   git clone https://github.com/your-username/connectx-competition.git

2. Set Up Your Environment: Ensure you have Python installed. You may also need to install the kaggle-environments package.

   pip install kaggle-environments

3. Develop Your Agent: Modify the submission.py file to implement your AI agent. Example starter code is provided to get you started.

4. Submit Your Agent: Once you're satisfied with your agent's performance locally, submit your submission.py to Kaggle through their competition interface.

Code Structure

• submission.py: Main file where your AI agent's logic is implemented. Modify this file to improve your agent's performance.
• README.md: This file provides an overview of the competition, setup instructions, and guidelines for participating.

Rules and Guidelines

• Your agent must return an action within 2 seconds (60 seconds on the first turn) of being invoked.
• Use only modules from the Kaggle Kernels notebook image.
• Ensure your submission does not exceed the maximum file size limit of 100 MB.

Contributing

This competition is a beta launch, and your feedback is valuable. If you encounter issues or have suggestions for improvements, please open an issue or pull request. We appreciate your input!

Citation

ConnectX. (2020). Kaggle. Retrieved from https://www.kaggle.com/competitions/connectx/overview