Philipp Altmann, M.Sc.

Research Interests

• Collective Intelligence
• Reinforcement Learning
• Quantum Machine Learning
• Surrogate Modeling
• Explainability

Selected Publications

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• Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, and Claudia Linnhoff-Popien, MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange, in Proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART '25, pp. 33-44, 2025. [Code] [PDF]
• Philipp Altmann, Fabian Ritz, Maximilian Zorn, Michael Kölle, Thomy Phan, Thomas Gabor, and ClaudiaLinnhoff-Popien, Discriminative Reward Co-Training, in Neural Computing and Applications, pp. 1-17, 2024. [Code] [PDF]
• Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, and Thomas Gabor, REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning, in Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI '24, pp. 127-138,2024. [Code] [PDF]
• Philipp Altmann, Julian Schönberger, Maximilian Zorn, and Thomas Gabor, Finding Strong Lottery Ticket Networks with Genetic Algorithms, in Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI '24, pp. 449-460, 2024. [Code] [PDF]
• Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, and ThomasGabor, Emergence in Multi-Agent Systems: A Safety Perspective, in Leveraging Applications of Formal Methods, Verification and Validation. Rigorous Engineering of Collective Adaptive Systems, ISoLA '24, pp. 104-120, 2024. [Code] [Preprint]
• Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, and Claudia Linnhoff-Popien, Challenges for Reinforcement Learning in Quantum Circuit Design, in 2024 IEEE International Conference on Quantum Computing and Engineering, QCE '24, pp. 1600-1610, 2024. [Code] [PDF]
• Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, and ClaudiaLinnhoff-Popien,Quantum Circuit Design: A Reinforcement Learning Challenge, in Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS '24, pp. 2123-2125, 2024. [Code] [PDF]
• Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, and Thomy Phan, CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing, in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI '23, pp. 3414-3422, 2023. [Code][PDF]
• Philipp Altmann, Thomy Phan, Fabian Ritz, Claudia Linnhoff-Popien, and Thomas Gabor, DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training, in Proc. of the Adaptive and Learning Agents Workshop @ AAMAS, ALA '23, pp. 1-10, 2023. [Code] [PDF]
• Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, and Claudia Linnhoff-Popien, SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training, in Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART '23, pp. 744-751,2023. [Code] [PDF]

Teaching

• Affective Computing – Empathic Artificial Intelligence:
  SoSe25, WS24/25, SoSe24, WS23/24, SoSe23, WS22/23, SoSe22, WS21/22, SoSe21
• Autonomous Systems (Practical Course): SoSe25, WS24/25, SoSe24, WS23/24, SoSe23, WS22/23
• Working Group Artificial Intelligence: SoSe25, WS24/25, SoSe24, WS23/24, SoSe23

Theses

• Florian Helmberger, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien, “Comparing Echo State Networks and Spiking Neural Networks for Reservoir Computing,” 2025 (Bachelor).
• David Engel, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien, “Enhancing Cooperative MARL with Curriculum Learning for Dynamic Role Assignment,” 2025 (Bachelor).
• Johannes Kindermann, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien, “Query-Efficient Reinforcement Learning from Preferences,” 2025 (Master).
• Nicole Kilian, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien, “Efficient Reinforcement-Learning Curriculum Generation via Quality-Diversity Methods,” 2025 (Bachelor).
• Simon Salfer, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien, “Quantum Architecture Search for Solving Quantum Machine Learning Tasks,” 2025 (Bachelor).
• Marcel Davignon, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien, “Confidence Based Robotic Grasping With Reinforcement Learning,” 2025 (Bachelor).
• Joel Friedrich, Tobias Rohe, Philipp Altmann, Claudia Linnhoff-Popien, “Exploring Entanglement-intensity in Variational Quantum Eigensolver Algorithms for Combinatorial Optimization,” 2025 (Master).
• Josef Stolz, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien, “Cooperative Sequential Robotic Manipulation with Multi-Agent Reinforcement Learning,” 2025 (Bachelor).
• Clarissa Kümhof, Philipp Altmann, Maximilian Zorn, Claudia Linnhoff-Popien, “Multi-Objective Reinforcement Learning using Evolutionary Algorithms for Diverse Policy Selection,” 2025 (Master).
• Isabella Debelic, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien, “Reinforcement Learning-Based State Preparation Using Parameterized Quantum Gates,” 2024 (Bachelor).
• Nicolas Holeczek, Leo Sünkel, Philipp Altmann, Claudia Linnhoff-Popien, “Comparison of different hybrid quantum machine learning approaches for image classification on quantum computers,” 2024 (Bachelor).
• Martin Obwexer, Thomas Gabor, Philipp Altmann, Claudia Linnhoff-Popien, “Enhancing Object Recognition with Uncertainty-Based Fusion Techniques: A Comparative Analysis of Voting Techniques and Machine Learning Models,” 2024 (Master).
• Amelie Trautwein, Philipp Altmann, Maximilian Zorn, Claudia Linnhoff-Popien, “Evolutionary Prompt-optimization Operators for Code-Generation using LLMs,” 2024 (Bachelor).
• David Fischer, Jonas Stein, Jago Silberbauer, Philipp Altmann, Claudia Linnhoff-Popien, “A Path Towards Quantum Advantage for the Unit Commitment Problem,” 2024 (Bachelor).
• Jonas Wild, Maximilian Zorn, Philipp Altmann, Claudia Linnhoff-Popien, “Designing Meta-Rewards for Multi-Agent Reinforcement Learning Cooperation,” 2024 (Master).
• Timo Witter, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien, “Improving Variational Quantum Circuits for Hybrid Quantum Proximal Policy Optimization Algorithms,” 2024 (Bachelor).
• Llewellyn Hochhauser, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien, “Influencing behavior through reward manipulation in multi-agentreinforcement-learning,” 2024 (Master).
• Céline Davignon, Philipp Altmann, Maximilian Zorn, Claudia Linnhoff-Popien, “Portraying Reinforcement Learning Policies via Diverse Behavior selected using Evolutionary Algorithms,” 2024 (Master).
• Simon Hackner, Philipp Altmann, Maximilian Zorn, Claudia Linnhoff-Popien, “Diversity-Driven Pre-Training for Efficient Transfer Reinforcement Learning,” 2023 (Bachelor).
• Katharina Winter, Philipp Altmann, Thomy Phan, Claudia Linnhoff-Popien, “Consensus-Based Mutual Acknowledgment Token Exchange,” 2023 (Master).
• Tom Schubert, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien, “A Reinforcement Learning Environment for directed Quantum Circuit Synthesis,” 2023 (Bachelor).
• Sarah Gerner, Thomas Gabor, Philipp Altmann, Claudia Linnhoff-Popien, “Final Productive Fitness in Evolutionary Algorithms and its Approximation via Neural Network Surrogates,” 2023 (Bachelor).
• Jonas Maurer, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien, “Dimensionality Reduction with Autoencoders for Efficient Classification with Variational Quantum Circuits,” 2023 (Bachelor).
• Alain Feimer, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien, “Generalization in Multi-Agent Reinforcement Learning using Minimax Learning,” 2023 (Master).
• Arnold Unterauer, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien, “Hidden Attacks in Multi-Agent Reinforcement Learning,” 2023 (Master).
• Leonard Feuchtinger, Philipp Altmann, Fabian Ritz, Claudia Linnhoff-Popien, “Distributional Shift in Reinforcement Learning – Learning from a single gridworld,” 2022 (Bachelor).
• Marco Börner, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien “Predicting the optimal approximation level for Quantum Annealing,” 2022 (Bachelor).
• Felix Sommer, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien “Learning Trust in Multi-Agent Systems,” 2020 (Master).