AI-Competition-Connect4

Starter files for the First School of AI Competition. The objective is to create an agent capable of playing Connect4

Rules

1. Your agent must return a valid move within the time limit of 0.25 seconds. Failure to do so will result in losing the match.
2. Your agent must be able to run on This Machine.
3. Only the Libraries in the requirements.txt file will be available on the competition environment.

How to Enter

1. Add all your necessary files into either a .zip or .rar archive.
2. Fill out this Form and upload your archive on it.

Getting Started

1. Make sure you have Python 3.6 installed.

2. Clone the repository

   git clone https://github.com/SchoolofAI-Vancouver/AI-Competition-Connect4.git

3. Use Conda to create a new environment and install dependencies.
   Click Here if you need a detail guide on using conda.

   • Linux or Mac:

   conda create --name tournament python=3.6
   source activate tournament
   conda install numpy
   conda install cudnn
   pip install tensorflow-gpu==2.0.0alpha0
   conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
   conda install matplotlib
   conda install jupyter notebook

   • Windows:

   conda create --name tournament python=3.6 
   activate tournament
   conda install numpy
   conda install cudnn
   pip install tensorflow-gpu==2.0.0alpha0
   conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
   conda install matplotlib
   conda install jupyter notebook

4. Join us on Slack if you have any questions and make sure to join the #competitions channel.

Instructions

Navigate to the directory and open Connect4.ipynb

jupyter notebook Connect4.ipynb

Note

1. test_agent.py is provided both as an opponent to test your agent against and as a starting point for implementing a minimax agent with alpha beta pruning and iterative deepening.
2. If you wish to build an agent based on test_agent.py. Create a new copy of test_agent.py and heuristic.py modify heuristic.py to customize the behaviour of your agent.