no code implementations • 28 Apr 2021 • W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
This article considers the problem of diagnosing certain common errors in reward design.
no code implementations • 3 Dec 2018 • Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner
This paper introduces therefore a data-driven approach utilizing a deep convolutional neural network (CNN): Given the current driving situation, future ego-vehicle poses can be directly generated from the output of the CNN allowing to guide the motion planner efficiently towards the optimal solution.