Autonomous Helicopter Flight via Reinforcement Learning

Autonomous helicopter flight represents a challenging control problem, with complex, noisy, dynamics. In this paper, we describe a successful application of reinforcement learning to autonomous helicopter flight. We then use the model to learn to hover in place, and to fly a number of maneuvers taken from an RC helicopter competition.