Felix Schmitt

18 papers A* 4A 2B 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
Reward (Mis)design for Autonomous Driving (Abstract Reprint).
AAAI
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2023 — conf
Learning Hierarchical Planning-Based Policies from Offline Data.
ECML/PKDD (4)
Jan Wöhlke, Felix Schmitt, Herke van Hoof
2023 J jnl
Reward (Mis)design for autonomous driving.
Artif. Intell.
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2022 A* conf
Value Refinement Network (VRN).
IJCAI
Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021 A* conf
Hierarchies of Planning and Reinforcement Learning for Robot Navigation.
ICRA
Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021 J jnl
Hierarchies of Planning and Reinforcement Learning for Robot Navigation.
CoRR
Jan Wöhlke, Felix Schmitt, Herke van Hoof
2021 J jnl
Reward (Mis)design for Autonomous Driving.
CoRR
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2020 A conf
A Performance-Based Start State Curriculum Framework for Reinforcement Learning.
AAMAS
Jan Wöhlke, Felix Schmitt, Herke van Hoof
2018 — —
Driver Attention Assessment from Gaze and Situational Variables
Felix Schmitt
2017 A* conf
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.
AAAI
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf
2016 J jnl
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control.
CoRR
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control.
SMC
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 A conf
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.
AISTATS
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
2016 J jnl
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.
CoRR
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
2016 — conf
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.
Australasian Conference on Artificial Intelligence
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard
2016 J jnl
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control.
CoRR
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control.
Intelligent Vehicles Symposium
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.
ESANN
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard