gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
What is gym-pybullet-drones?
gym-pybullet-drones is an open-source Python library that provides simulation environments for training reinforcement learning agents to control quadcopter drones. It uses the PyBullet physics engine to create realistic flight dynamics and integrates with the Gymnasium API, enabling both single-agent and multi-agent learning scenarios. The project solves the problem of needing a standardized, performant, and accessible testbed for developing and benchmarking autonomous drone control algorithms.
Researchers and developers working on reinforcement learning for robotics, specifically those focused on autonomous drone control, multi-agent systems, and aerial robotics simulation. It is also suitable for educators and students in robotics and machine learning courses.
Developers choose gym-pybullet-drones for its clean integration with modern RL frameworks (Gymnasium, Stable-Baselines3), its support for both single and multi-agent learning, and its practical features like hardware-in-the-loop compatibility with real drone firmware. Its minimalist, refactored codebase is designed for ease of use and extension compared to earlier versions.
Overview
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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