Felix Schmitt

According to our database, Felix Schmitt authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reward (Mis)design for Autonomous Driving (Abstract Reprint).

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reward (Mis)design for autonomous driving.

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Artif. Intell., March, 2023

Learning Hierarchical Planning-Based Policies from Offline Data.

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Value Refinement Network (VRN).

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Hierarchies of Planning and Reinforcement Learning for Robot Navigation.

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Performance-Based Start State Curriculum Framework for Reinforcement Learning.

Jan Wöhlke, Felix Schmitt, Herke van Hoof

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Driver Attention Assessment from Gaze and Situational Variables

Felix Schmitt

PhD thesis, 2018

2017

I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.

Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control.

Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen

CoRR, 2016

Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control.

Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control.

Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016