engineering-geek / rl-uav

Reinforcement Learning for Unmanned Airial Vehicles

RL-UAV

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.

Project Structure

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 like Drone, Target, and _BaseRegime.

• tests: This module contains unit tests for the TrainingRegimes module.

• docs: This module contains the documentation for the project.

Installation

To install the project, clone the repository and install the necessary dependencies.

Usage

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.

Contributing

Contributions are welcome. Please open an issue to discuss your ideas before making a change.

License

MIT