A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
Elia Kaufmann,Leonard Bauersfeld,Davide Scaramuzza,Elia Kaufmann,Leonard Bauersfeld,Davide Scaramuzza
Quadrotors are highly nonlinear dynamical systems that require carefully tuned controllers to be pushed to their physical limits. Recently, learning-based control policies have been proposed for quadrotors, as they would potentially allow learning direct mappings from high-dimensional raw sensory observations to actions. Due to sample inefficiency, training such learned controllers on the real pla...
