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Biography

Constantin Ruhdorfer is a PhD student in the Perceptual User Interfaces group and a PhD scholar in the International Max Planck Research School for Intelligent Systems (IMPRS-IS) since November 2023. He holds a Bachelor’s degree in Computer Science from the Cooperative State University Baden-Württemberg and a Master's degree in Computer Science from the University of Stuttgart. His research interests lies in building and training agents that can cooperate well with humans by taking into account their individual mental states and preferences. Likewise his interests lie at the intersection of multi-agent reinforcement learning, inverse reinforcement learning, machine theory of mind and AI alignment.


Teaching

2023
Fachpraktikum -- Practical Course Interactive Systems: Computational Theory of Mind and Cognition (Tutor)Master
2023
Machine Perception and Learning (Tutor) (winter)Master

Supervision

2024
Open-Ended Learning via Auto-Curricula for Solving Zero-Shot Theory of Mind Tasks (M.Sc.) Benjamin Caddell
 
The Yokai Challenge: A New Frontier for Multi-Agent Reinforcement Learning and Machine Theory of Mind (M.Sc.) Rui Yang
2023
Evaluation of Different Image Representations for Reinforcement Learning Agents (M.Sc.) Jayakumar Ramasamy Sundararaj*
*Co-supervised with Anna Penzkofer

Open Thesis Projects

 
Cognitive Attention Guided Imitation LearningMaster
 
Probing for Theory of Mind in the Multi-Agent Cooperation Game YokaiMaster
 
Cognitive Attention Guided Imitation LearningMaster
 
Spiking Neural Networks for Generalization in RLMaster

Publications

  1. VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour

    VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour

    Yao Wang, Yue Jiang, Zhiming Hu, Constantin Ruhdorfer, Mihai Bâce, Andreas Bulling

    Proc. ACM on Human-Computer Interaction (PACM HCI), 8(ETRA), pp. 1–18, 2024.

    Abstract Links BibTeX Project

  1. Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition

    Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition

    Matteo Bortoletto, Constantin Ruhdorfer, Adnen Abdessaied, Lei Shi, Andreas Bulling

    Proc. 62nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1–16, 2024.

    Abstract Links BibTeX Project