JDatPNW/QPlane
Fixed Wing Flight Simulation Environment for Reinforcement Learning
This project helps aerospace engineers and researchers design and test autonomous flight control systems for fixed-wing aircraft using reinforcement learning. It takes in flight simulator data from X-Plane 11 or JSBSim and outputs trained control agents that can manage aircraft attitude. This is ideal for academics or industry professionals exploring advanced autonomous flight.
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Use this if you are developing or researching autonomous flight control systems for fixed-wing aircraft using reinforcement learning, and need a simulation environment to train and evaluate your algorithms.
Not ideal if you are looking for a general-purpose flight simulator for entertainment or pilot training, or if you are not working with reinforcement learning methodologies.
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Language
Python
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Last pushed
Jan 20, 2022
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