RL-UAV is a reinforcement learning project focused on drone simulation. The project is built using Python and JavaScript, and it uses the MuJoCo physics engine for accurate physics simulation.
The project is divided into several modules, each responsible for a specific functionality:
-
TrainingRegimes: This module contains the main logic for the drone and target simulation. It includes classes likeDrone,Target, and_BaseRegime. -
tests: This module contains unit tests for theTrainingRegimesmodule. -
docs: This module contains the documentation for the project.
To install the project, clone the repository and install the necessary dependencies.
To use the project, import the necessary classes from the TrainingRegimes module and create instances of them. You can then use these instances to simulate a drone and a target in a 3D environment.
Contributions are welcome. Please open an issue to discuss your ideas before making a change.