Deep Surrogate Q-Learning for Autonomous Driving
Maria Kalweit,Gabriel Kalweit,Moritz Werling,Joschka Boedecker,Maria Kalweit,Gabriel Kalweit,Moritz Werling,Joschka Boedecker
Open challenges for deep reinforcement learning systems are their adaptivity to changing environments and their efficiency w.r.t. computational resources and data. In the application of learning lane-change behavior for autonomous driving, the number of required transitions imposes a bottleneck, since test drivers cannot perform an arbitrary amount of lane changes in the real world. In the off-pol...
