Learning to Fly

Learning to Fly (L2F) is an open source project that aims to train end-to-end control policies through deep reinforcement learning and quickly complete the training on consumer laptops. The main advantages of this project are that the training speed is fast and can be completed in a few seconds, and the trained strategy has good generalization ability and can be directly deployed to a real quadcopter. The L2F project relies on the RLtools deep reinforcement learning library and provides detailed installation and deployment guides, allowing researchers and developers to quickly get started and conduct experiments.

The target audience is researchers, developers and students in the fields of robotics, automation and artificial intelligence. This project is suitable for them as it provides a platform to quickly experiment and validate new ideas, especially for the application of reinforcement learning in the field of robot control.