gym-pybullet-drones
oleh learnsyslab
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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[!TIP] For research work with symbolic dynamics and constraints, also try safe-control-gym For GPU-accelerated, differentiable, JAX-based simulation, also try crazyflow For real-world deployment of PX4/ArduPilot + ROS2 + JetPack, use aerial-autonomy-stack gym-pybullet-drones This is a minimalist refactoring of the original gym-pybullet-drones repository, designed for compatibility with gymnasium, stable-baselines3 2.0, and betaflight SITL. NEWS: gym-pybullet-drones was featured in GitHub's Maintainer Spotlight 2026 NOTE: if you want to access the original IROS 2021 codebase, please git…
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