2 papers
cs.LG2021
Reward (Mis)design for Autonomous Driving
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf +2
This article considers the problem of diagnosing certain common errors in reward design. Its insights are also applicable to the design of cost functions and performance metrics mo…
cs.RO2019
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning
Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann +1
Sampling-based motion planning is an effective tool to compute safe trajectories for automated vehicles in complex environments. However, a fast convergence to the optimal solution…