Inverse reinforcement learning of behavioral models for online-adapting navigation strategies. - Michael Herman; Volker Fischer 003; Tobias Gindele; Wolfram Burgard (ICRA, 2015)

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)

Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. - Jörg Wagner; Volker Fischer 003; Michael Herman; Sven Behnke (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)

Learning Semantic Prediction using Pretrained Deep Feedforward Networks. - Jörg Wagner; Volker Fischer 003; Michael Herman; Sven Behnke (ESANN, 2017)

Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. - Jörg Wagner; Volker Fischer 003; Michael Herman; Sven Behnke (BMVC, 2018)

Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. - Jörg Wagner; Volker Fischer 003; Michael Herman; Sven Behnke (ESANN, 2018)

Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. - Ulrich Baumann; Claudius Guiser; Michael Herman; J. Marius Zöllner (ICRA, 2018)

Classifying Road Intersections using Transfer-Learning on a Deep Neural Network. - Ulrich Baumann; Yuan-Yao Huang; Claudius Gläser; Michael Herman; Holger Banzhaf; J. Marius Zöllner (ITSC, 2018)

Wasserstein Adversarial Imitation Learning. - Huang Xiao; Michael Herman; Jörg Wagner; Sebastian Ziesche; Jalal Etesami; Thai Hong Linh (CoRR, 2019)

Human motion trajectory prediction: a survey. - Andrey Rudenko; Luigi Palmieri; Michael Herman; Kris M. Kitani; Dariu M. Gavrila; Kai O. Arras (Int. J. Robotics Res., 2020)

Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems - Michael Herman (2020)

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. - Michael Herman; Jörg Wagner; Vishnu Suganth Prabhakaran; Nicolas Möser; Hanna Ziesche; Waleed Ahmed; Lutz Bürkle; Ernst Kloppenburg; Claudius Gläser (IEEE Trans. Intell. Transp. Syst., 2022)

Sun sensor calibration algorithms: A systematic mapping and survey. - Michael Herman; Olivia J. Pinon Fischer; Dimitri N. Mavris (CoRR, 2025)