Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning. - Joris IJsselmuiden; Johannes Dornheim (AVSS, 2015)

Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning. - Johannes Dornheim; Norbert Link; Peter Gumbsch (CoRR, 2018)

Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes. - Johannes Dornheim; Norbert Link (CoRR, 2018)

Joint Optimization for Multi-person Shape Models from Markerless 3D-Scans. - Samuel Zeitvogel; Johannes Dornheim; Astrid Laubenheimer (ECCV (18), 2020)

Structure-Guided Processing Path Optimization with Deep Reinforcement Learning. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (CoRR, 2020)

A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (CoRR, 2021)

gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach. - Johannes Dornheim (CoRR, 2022)

Deep reinforcement learning methods for structure-guided processing path optimization. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (J. Intell. Manuf., 2022)

Machine learning for structure-guided materials and process design. - Lukas Morand; Tarek Iraki; Johannes Dornheim; Stefan Sandfeld; Norbert Link; Dirk Helm (CoRR, 2023)

Virtual Analysis of Vehicle Dynamics Limits using Reinforcement Learning. - Simon Olma; Yi Cui; Johannes Dornheim; Danny Braunstedter; Markus Knaup; Mark Wielitzka (ITSC, 2024)

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (J. Intell. Manuf., 2024)