wil3/gymfc
A flight control tuning framework that synthesizes neuro-flight controllers using reinforcement learning for UAV attitude control.
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GymFC is a modular framework for tuning flight control systems using reinforcement learning. It synthesizes neural network-based attitude controllers that exceed traditional PID controller performance. The project integrates with Gazebo simulator and OpenAI Gym environments for training RL agents that control quadcopters, and powers the Neuroflight neural network flight control firmware.
Frequently asked
- What is wil3/gymfc?
- A flight control tuning framework that synthesizes neuro-flight controllers using reinforcement learning for UAV attitude control.
- Is gymfc open source?
- Yes — wil3/gymfc is open source, released under the MIT license.
- What language is gymfc written in?
- wil3/gymfc is primarily written in Python.
- How popular is gymfc?
- wil3/gymfc has 441 stars on GitHub.
- Where can I find gymfc?
- wil3/gymfc is on GitHub at https://github.com/wil3/gymfc.