General

Maximilian Schier studied Computer Science at Leibniz University Hannover. He completed his master thesis on the topic of Deep Image Clustering in July 2021. His current research focuses on Reinforcement Learning and dynamic representations, e.g. graphs, but he is also involved with projects on panoptic segmentation of bio-medical images.

Research Topics

• Graph Neural Networks for scene representations
• Dynamic scene representations in general
• Reinforcement Learning in an automotive/traffic context
• Deep & Reinforcement Learning for autonomous racing
• Panoptic Segmentation for Biology/Medicine.

If you are interested in a thesis regarding above topics, do not hesitate to contact me. As inspiration for for example a bachelor thesis, here is a toy problem of a Soft Actor-Critic Reinforcement Learning agent controlling a vehicle End-to-End (sensors to actuators):

HiWi Positions

I also regularly have HiWi positions available. Currently open are:

• HiWi: Videospiel KI Demonstrator
• HiWi: Reinforcement Learning auf Slotcar-Bahn