The setup of the TORCS environment is completed thanks to Tolga Ok.

Parts of the code are inspired and taken from https://github.com/jastfkjg/DDPG_Torcs_PyTorch

USING DDPG TO TRAIN A SELF-DRIVING CAR IN TORCS

This project uses DDPG to train a self driving racing car that navigates the tracks as fast as possible, while remaining on track. It uses the numeric features provided by the environment. The project is done for a graduate level Deep Reinforcement Learning course.

Install

• Install required libraries

sudo apt-get install libglib2.0-dev libgl1-mesa-dev libglu1-mesa-dev freeglut3-dev libplib-dev libopenal-dev libalut-dev libxi-dev libxmu-dev libxrender-dev libxrandr-dev libpng12-dev

• Download repo

git clone https://github.com/ugo-nama-kun/gym_torcs.git

• cd into downloaded repo

cd gym_torcs/vtorcs-RL-color/

./configure

• below commands may require sudo make

make install

make datainstall

Prepare

• If you installed the game with sudo, you need to give your user account access to game files

sudo chown -R YOUR_USERNAME /usr/local/share/games/torcs

• Back to the main repo

cd ..

• Change the race configs

mv quickrace.xml /usr/local/share/games/torcs/config/raceman/quickrace.xml

How to Run

• To train, run train.py
• To test, run test.py
• You can change the arguments in order to save specific models and run them