Learn to use Reinforcement Learning in Video Games with MineRL

This is a personal project using the MineRL library to test reinforcement learning in a video game environment.

Setup

1. Install gcc and xvfb(used for running scripts):

   sudo apt install gcc sudo apt install xvfb

2. Install JDK 1.8 (Debian system):

   sudo add-apt-repository ppa:openjdk-r/ppa sudo apt-get update sudo apt-get install openjdk-8-jdk

3. Install Anaconda:

   Linux: https://docs.anaconda.com/anaconda/install/linux/

4. Create an environment with Python 3.9:

   conda create -n minecraft python=3.9

5. Install Anaconda library

   conda install -c conda-forge libstdcxx-ng

6. Install the libraries form the requirements.txt file:

   pip install -r requirements.txt

Work with MineRL

Run a script

xvfb-run python3 <your_script.py>

Download training data

1. Export data directory location:

   sudo nano ~/.bashrc Add export MINERL_DATA_ROOT=/home/noe_jager/Documents/minerl_diamonds/data/ source ~/.bashrc

2. Download env :

   python3 -m minerl.data.download --environment "MineRLObtainDiamond-v0"

View the data

Random trajectory :

python3 -m minerl.viewer environment

Specific trajectory :

python3 -m minerl.viewer environment name_of_trajectory

Interact with the agent:

python -m minerl.interactor 5656

For more help with MineRL, check out the documentation: https://minerl.readthedocs.io/en/v0.4.4/index.html