Welcome to the rSoccer RL project! This repository contains Deep Deterministic Policy Gradient (DDPG) model to train an agent to done the go-to-ball task in the rSoccer gym environment. rSoccer Gym is an open-source framework to study Reinforcement Learning for SSL and IEEE VSSS competition environment.

To get started with this project, you need to install the rSoccer gym environment first. Follow these steps:

1. Clone the rSoccer gym environment repository:

git clone https://github.com/ErfanFathi/rSoccer.git
cd rSoccer
pip install -e .

2. Clone this repository: After installing the rSoccer environment, you can clone this repository and use the provided scripts to train and evaluate RL agents.

git clone https://github.com/ErfanFathi/rsoccer_rl.git
cd rsoccer_rl

# First get the help message to see the available options
python main.py --help
# Train an agent
python main.py --save_model

# Test the trained agent
python test.py

Contributions are welcome! If you have any improvements or bug fixes, please open an issue or create a pull request.

This project is still under development. If you have any questions or suggestions, feel free to contact me at [email protected].