D. V. van Hamersveld

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.