开源项目

gym-pybullet-drones

由 learnsyslab 提供

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

场景:🧰智能体框架

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README 摘录

[!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…

摘自该项目在 GitHub 上的 README。

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