Maximilian Schier

According to our database, Maximilian Schier authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Reinforcement learning for ion shuttling on trapped-ion quantum computers.

Maximilian Schier, Lea Richtmann, Christian Staufenbiel, Tobias Schmale, Daniel Borcherding, Michèle Heurs, Bodo Rosenhahn

CoRR, May, 2026

2025

Cell Tracking According to Biological Needs - Strong Mitosis-Aware Multi- Hypothesis Tracker With Aleatoric Uncertainty.

Timo Kaiser, Maximilian Schier, Bodo Rosenhahn

IEEE Trans. Medical Imaging, December, 2025

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits.

Yannik Mahlau, Maximilian Schier, Christoph Reinders, Frederik Schubert, Marco Bügling, Bodo Rosenhahn

CoRR, June, 2025

Explainable Reinforcement Learning via Dynamic Mixture Policies.

Maximilian Schier, Frederik Schubert, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Cell Tracking according to Biological Needs - Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty.

Timo Kaiser, Maximilian Schier, Bodo Rosenhahn

CoRR, 2024

Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents.

Tristan Gottwald, Maximilian Schier, Bodo Rosenhahn

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Constrained Mean Shift Clustering.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022