I built an open-source 3D soccer game for Reinforcement Learning experiments
 |
I wanted to get into reinforcement learning but couldn’t find a game environment that clicked with me. Inspired by AI Warehouse videos, I decided to build my own. Cube Soccer 3D is a minimalist soccer game where cube players with googly eyes compete to score goals. It’s designed specifically as an RL training environment. Tech stack: – Rust + Bevy (game engine) – Rapier3D (physics) – Modular architecture for easy RL integration – Gymnasium-compatible Python bindings Features: – Realistic physics (collisions, friction, bouncing) – Customizable observations and rewards – Human vs Human, Human vs AI, or AI vs AI modes – Works with Stable-Baselines3, RLlib, etc. I’m releasing it open source in case anyone else is looking for a fun environment to train RL agents. GitHub: https://github.com/Aijo24/Cube-soccer-3D Feedback and contributions welcome! submitted by /u/MineInternational495 |
