Kaggle Simulations Lab 🛠

Build and experiment with a wide variety of deep Reinforcement Learning agents for various Kaggle Simulation competitions, with only a few clicks !

All you have to do is:

• Choose your environment
• Choose your algorithm
• Configure your Neural-Network
• Train your agent 😎

Environments Supported

Environment	Supported yet ?
Hungry Geese	✔️️️
Rock, Paper, Scissors	❌️
Connect-X	❌️
Halite by Two Sigma (Playground Edition)	❌️
Santa 2020 - The Candy Cane Contest	❌️
Google Research Football with Manchester City F.C.	❌️

Installation Instructions

Make sure you have Python3 (v3.5+) installed on your system. If not installed, it will not work.

1. (Optional) Setting up a virtual environment - Highly recommended

• Make sure Python's virtual environment module is installed. If not, install it using pip3 or pip depending on your system:

$ pip3 install virtualenv

Alternatively, on Linux-based systems you can do

$ sudo apt install python3-venv

• Once installed, change to a directory where you'll like the virtual environment to be created. Then create the virtual environment using python3 or python and then activate it

$ python3 -m venv kaggle_sim_venv       # You can use any other name for this
$ source kaggle_sim_venv/bin/activate   # Activate the virtual environment
(kaggle_sim_venv) $ ...                 # Now activated

2. Installing the dependencies

• Clone the repository and change to the repository's root directory

(kaggle_sim_venv) $ git clone https://github.com/0xd3ba/kaggle-simulations-lab
(kaggle_sim_venv) $ cd kaggle-simulations-lab

• Install the dependencies by using pip3 or pip (virtual environment is highly recommended for this, or else this step may mess things up)

(kaggle_sim_venv) $ pip3 install -r requirement.txt

3. Starting the application

• Once all the steps above are completed, you can start the application by simply doing

(kaggle_sim_venv) $ python3 kaggleSimLab.py