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Philipp Altmann, M.Sc. Lehrstuhl für Mobile und Verteilte Systeme Ludwig-Maximilians-Universität München, Oettingenstraße 67 Raum E105 Telefon: +49 89 / 2180-9421 Fax: +49 89 / 2180-9148 |
Research Interests
- Collective Intelligence
- Reinforcement Learning
- Quantum Machine Learning
- Surrogate Modeling
- Explainability
Publications
- 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 – Volume 3: ICAART, 2023, pp.744-751. [DOI][preprint]
- Michael Kölle, Tim Matheis, Philipp Altmann, and Kyrill Schmid, „Learning to Participate Through Trading of Reward Shares“, in Proceedings of the 15th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, 2023, pp. 355-362. [DOI][PDF]
- Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien and Thomas Gabor, „Capturing Dependencies within Machine Learning via a Formal Process Model“, in Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning. ISOLA 2022, Lecture Notes in Computer Science, vol 13703, Springer International Publishing, pp.249–265. [DOI][PDF]
- Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, and Claudia Linnhoff-Popien, „Emergent Cooperation from Mutual Acknowledgment Exchange“, in 21st Conference on Autonomous Agents and Multiagent Systems (AAMAS ’22), 2022, pp. 1047–1055. [PDF][source]
- Tobias Müller, Christoph Roch, Kyrill Schmid and Philipp Altmann, „Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines“, in Proceedings of the 14th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, 2022, pp. 121-130. [PDF]
- Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, and Claudia Linnhoff-Popien, „VAST: Value Function Factorization with Variable Agent Sub-Teams“, in 35th Conference on Neural Information Processing Systems (NeurIPS ’21), 2021. [PDF][source]
- Thomas Gabor and Philipp Altmann. Benchmarking surrogate-assisted genetic recommender systems. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1568-1575, 2019. [PDF]
Teaching
- Affective Computing – Empathic Artificial Intelligence:
WS22/23, SS22, WS21/22, SS21 - Autonome Systeme (Practical Course):
WS22/23
Theses
- Leonard Feuchtinger, Philipp Altmann, Fabian Ritz, Claudia Linnhoff-Popien. Distributional Shift in Reinforcement Learning – Learning from a single gridworld, 2022.
- Marco Börner, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien. Predicting the optimal approximation level for Quantum Annealing, 2022.
- Felix Sommer, Thomy Phan, Philipp Altmann, Claudia Linnhoff-Popien. Learning Trust in Multi-Agent Systems. Master’s Thesis, 2020.