gym-pybullet-drones
A quadrotor control environment for single and multi-agent reinforcement learning.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.0k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
gym-pybullet-drones is a simulation environment for single and multi-agent reinforcement learning. It provides researchers with a platform compatible with Gymnasium, stable-baselines3 2.0, and Betaflight/Crazyflie firmware SITL, suitable for the research and development of drone control algorithms. It can be easily installed and run on supported platforms, and comes with multiple example codes to help users get started quickly.
Key features
- ▪Supports single/multi-agent reinforcement learning
- ▪Compatible with Gymnasium and stable-baselines3 2.0
- ▪Integrated Betaflight/Crazyflie SITL
- ▪Includes examples such as PID control
Use cases
Pros
- ＋Easy to install and use
- ＋Rich example code
- ＋Cross-platform support
Limitations / notes
- －Some features are limited to Ubuntu systems
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How to get started with gym-pybullet-drones?
After cloning the repository, create and activate a Python virtual environment, then run pip install -e . to install.
Does it support multi-drone collaborative control?
Yes, it supports collaborative control tasks such as formation flying with multiple drones.
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