Carlos Castelar Wembers

Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning

In this paper, a Deep Neural Network is trained using Reinforcement Learning in order to drift on arbitrary trajectories which are defined by a sequence of waypoints. In a first step, a highly accurate vehicle simulation is used for the training process. Then, the obtained policy is refined and vali…