utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Provides physics-based simulation with downwash effects and integrates directly with flight control firmware (Betaflight, Crazyflie) via software-in-the-loop (SITL), enabling validation across both RL training pipelines and production autopilot stacks. Built on PyBullet physics with Gymnasium/Stable-Baselines3 2.0 compatibility for single and multi-agent tasks, supporting PID controllers and learning-based policies on CPU-friendly hardware.
1,885 stars. Actively maintained with 2 commits in the last 30 days.
Stars
1,885
Forks
524
Language
Python
License
MIT
Category
Last pushed
Feb 15, 2026
Commits (30d)
2
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