Autonomous fixed-wing interception using reinforcement learning
A fixed-wing interceptor is presented that is controlled by a neural network that maps filtered monocular vision observations directly to actuator commands and is able to intercept targets both in simulation and in real flight.
D. V. van Hamersveld, E. Smeur, Iurii Kriachko
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