Environments and benchmarks
Ready-made tasks to train and evaluate on.
- AirSimOpen source
Unreal Engine based simulator for drones and cars (archived, forks live on).
- gym-pybullet-dronesOpen source
PyBullet-based Gymnasium environments for quadcopter control and RL.
- RotorSOpen source
MAV simulator framework for Gazebo.
- Aerial GymOpen source
Isaac Gym environments for training multirotor control policies.
- ArduPilot GazeboOpen source
Simulated planes, quadplanes, rovers and boats for ArduPilot.
