Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. - Michael Herman; Tobias Gindele; Jörg Wagner; Felix Schmitt 001; Wolfram Burgard (AISTATS, 2016)

Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis. - Michael Herman; Tobias Gindele; Jörg Wagner; Felix Schmitt 001; Christophe Quignon; Wolfram Burgard (Australasian Conference on Artificial Intelligence, 2016)

Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. - Michael Herman; Tobias Gindele; Jörg Wagner; Felix Schmitt 001; Wolfram Burgard (ESANN, 2016)

Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control. - Felix Schmitt 001; Hans-Joachim Bieg; Dietrich Manstetten; Michael Herman; Rainer Stiefelhagen (Intelligent Vehicles Symposium, 2016)

Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control. - Felix Schmitt 001; Hans-Joachim Bieg; Dietrich Manstetten; Michael Herman; Rainer Stiefelhagen (SMC, 2016)

Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control. - Felix Schmitt 001; Hans-Joachim Bieg; Dietrich Manstetten; Michael Herman; Rainer Stiefelhagen (CoRR, 2016)

I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. - Felix Schmitt 001; Hans-Joachim Bieg; Michael Herman; Constantin A. Rothkopf (AAAI, 2017)

Driver Attention Assessment from Gaze and Situational Variables - Felix Schmitt 001 (2018)

A Performance-Based Start State Curriculum Framework for Reinforcement Learning. - Jan Wöhlke; Felix Schmitt 001; Herke van Hoof (AAMAS, 2020)

Hierarchies of Planning and Reinforcement Learning for Robot Navigation. - Jan Wöhlke; Felix Schmitt 001; Herke van Hoof (ICRA, 2021)

Value Refinement Network (VRN). - Jan Wöhlke; Felix Schmitt 001; Herke van Hoof (IJCAI, 2022)

Learning Hierarchical Planning-Based Policies from Offline Data. - Jan Wöhlke; Felix Schmitt 001; Herke van Hoof (ECML/PKDD (4), 2023)

Reward (Mis)design for autonomous driving. - W. Bradley Knox; Alessandro Allievi; Holger Banzhaf; Felix Schmitt 001; Peter Stone 001 (Artif. Intell., 2023)

Reward (Mis)design for Autonomous Driving (Abstract Reprint). - W. Bradley Knox; Alessandro Allievi; Holger Banzhaf; Felix Schmitt 001; Peter Stone 001 (AAAI, 2024)