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Felix Schmitt
Felix Schmitt
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Reward (mis) design for autonomous driving
WB Knox, A Allievi, H Banzhaf, F Schmitt, P Stone
Artificial Intelligence 316, 103829, 2023
842023
Inverse reinforcement learning with simultaneous estimation of rewards and dynamics
M Herman, T Gindele, J Wagner, F Schmitt, W Burgard
Artificial intelligence and statistics, 102-110, 2016
812016
A performance-based start state curriculum framework for reinforcement learning
J Wöhlke, F Schmitt, H van Hoof
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
222020
I see what you see: Inferring sensor and policy models of human real-world motor behavior
F Schmitt, HJ Bieg, M Herman, C Rothkopf
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
212017
Hierarchies of planning and reinforcement learning for robot navigation
J Wöhlke, F Schmitt, H van Hoof
2021 IEEE international conference on robotics and automation (ICRA), 10682 …, 2021
172021
Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control
F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen
2016 IEEE Intelligent Vehicles Symposium (IV), 412-418, 2016
152016
Exact maximum entropy inverse optimal control for modeling human attention switching and control
F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
82016
Learning high-level navigation strategies via inverse reinforcement learning: A comparative analysis
M Herman, T Gindele, J Wagner, F Schmitt, C Quignon, W Burgard
AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016
62016
Predicting strategies of driving in presence of additional visually demanding tasks: inverse optimal control estimation of steering and glance behaviour models
F Schmitt, A Korthauer, D Manstetten, HJ Bieg
UR: BAN Human Factors in Traffic: Approaches for Safe, Efficient and Stress …, 2018
32018
Value refinement network (VRN)
J Wöhlke, F Schmitt, H van Hoof
22022
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.
M Herman, T Gindele, J Wagner, F Schmitt, W Burgard
ESANN, 2016
22016
Learning Hierarchical Planning-Based Policies from Offline Data
J Wöhlke, F Schmitt, H van Hoof
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
12023
Training an autoencoder to obtain a generative model
F Schmitt
US Patent App. 18/508,078, 2024
2024
Reward (Mis) design for Autonomous Driving (Abstract Reprint)
WB Knox, A Allievi, H Banzhaf, F Schmitt, P Stone
Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22702 …, 2024
2024
Device and method for controlling a robot
JG Woehlke, F Schmitt, H Van Hoof
US Patent 11,934,176, 2024
2024
Selection of Driving Maneuvers for at Least Semi-Autonomously Driving Vehicles
F Schmitt, M Stoll, J Goth, HA Banzhaf, JM Doellinger, M Hanselmann
US Patent App. 18/255,849, 2024
2024
Method for controlling an agent
F Schmitt
US Patent App. 18/045,382, 2023
2023
Device and method for controlling an agent
JG Woehlke, F Schmitt, H Van Hoof
US Patent App. 17/898,846, 2023
2023
Method and device for activating a technical unit
JG Woehlke, F Schmitt
US Patent App. 17/601,366, 2022
2022
Device and method for training a control strategy for a control device over several iterations
F Schmitt, JM Doellinger
US Patent App. 17/191,091, 2021
2021
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