This repository provides minimalist Gymnasium environments for reinforcement learning of quadcopter control using PyBullet physics simulation. It supports both single and multi-agent RL training scenarios and is compatible with stable-baselines3. The environments include PID control examples and can simulate real firmware through betaflight and crazyflie SITL integration.