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Frank Röder
I am a member of the
Institute for Data Science Foundations at the
Hamburg University of Technology, where I research
topics of sequential decision-making, world modeling and causality.
I successfully defended my PhD in Computer Science on 10.02.2026.
My PhD mainly focused on reinforcement learning and language grounding in robotics under
the supervision of Dr. Manfred Eppe (2021-2025) and Prof. Stefan Wermter (2021-2022).
Currently I am working under the supervision of Prof. Nihat Ay on topics of embodied intelligence.
In addition to that, I am teaching mathematics, machine learning, and reinforcement learning.
If you are looking for thesis supervision, please consider applying via our institute homepage.
Contact: frank.roeder [at] tuhh.de
Google Scholar /
GitHub /
ORCID
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Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
Frank Röder, Jan Benad, Manfred Eppe, Pradeep Kr. Banerjee
Conference on Neural Information Processing Systems (NeurIPS) 2025
[OpenReview,
ArXiv,
Code]
We show that dynamics-aligned representations improve zero-shot
generalization for contextual world models. DALI integrates
within the Dreamer architecture to infer latent context
representations from interactions, enabling adaptation to
unseen environmental conditions without costly retraining.
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Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon,
Frank Röder, Tianhe Yu, Zhanpeng He,
K.R. Zentner, Ryan Julian, J K Terry, Isaac Woungang,
Nariman Farsad, Pablo Samuel Castro
Conference on Neural Information Processing Systems (NeurIPS)
2025; also International Conference on Machine Learning (ICML)
2025 Workshop Track CODEML (Spotlight)
[OpenReview,
ArXiv,
Code]
An improved and standardized reinforcement learning benchmark
suite for fair evaluation and comparison of multi-task and
meta RL algorithms.
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Lecturer, Machine Learning II (WS 2025/26),
Institute for Data Science Foundations
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Lecturer, Reinforcement Learning (WS 2025/26),
Institute for Data Science Foundations
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Tutor, Mathematics II (SS 2025),
Institute for Mathematics
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Tutor, Mathematics I (WS 2024/25),
Institute for Mathematics
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Tutor, Introduction to Reinforcement Learning Seminar (SS 2024),
Institute for Data Science Foundations
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Tutor, Introduction to Reinforcement Learning Seminar (SS 2023),
Institute for Data Science Foundations
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Supervisor, Neural Networks Seminar (SS 2022),
Knowledge Technology Group
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Supervisor, Bio-Inspired Artificial Intelligence Seminar (WS 2021/22),
Knowledge Technology Group
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Supervisor, Neural Networks Seminar (SS 2021),
Knowledge Technology Group
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Supervisor, Bio-Inspired Artificial Intelligence Seminar (WS 2020/21),
Knowledge Technology Group
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Industry Experience as Working Student
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05/2018 - 08/2019: Business Intelligence / Developer at Peaks & Pies
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07/2017 - 04/2018: Fullstack Software Developer at Bellmorgen Vorsorge GmbH
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04/2017 - 07/2017: Software Developer at the Deutsche Gesellschaft für Privatpatienten
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