Picture for Marion Leibold

Marion Leibold

Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles

Add code
Oct 04, 2023
Viaarxiv icon

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning

Add code
Aug 23, 2023
Viaarxiv icon

Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning

Add code
Sep 10, 2021
Figure 1 for Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
Figure 2 for Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
Figure 3 for Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
Viaarxiv icon

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing

Add code
May 25, 2021
Figure 1 for Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing
Figure 2 for Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing
Figure 3 for Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing
Figure 4 for Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing
Viaarxiv icon

Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems

Add code
Oct 19, 2020
Figure 1 for Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Figure 2 for Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Figure 3 for Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Figure 4 for Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Viaarxiv icon