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Fabian Ritz
Fabian Ritz
Research Associate, LMU Munich
Bestätigte E-Mail-Adresse bei ifi.lmu.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The Impact of Uncle Rewards on Selfish Mining in Ethereum
F Ritz, A Zugenmaier
2018 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 50-57, 2018
912018
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
R Müller, F Ritz, S Illium, C Linnhoff-Popien
Proceedings of the 13th International Conference on Agents and Artificial …, 2020
262020
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
T Phan, L Belzner, T Gabor, A Sedlmeier, F Ritz, C Linnhoff-Popien
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11308 …, 2021
202021
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
T Gabor, L Sünkel, F Ritz, T Phan, L Belzner, C Roch, S Feld, ...
First International Workshop on Quantum Software Engineering (Q-SE), 2020
182020
Learning and Testing Resilience in Cooperative Multi-Agent Systems
T Phan, T Gabor, A Sedlmeier, F Ritz, B Kempter, C Klein, H Sauer, ...
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
172020
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems
T Gabor, A Sedlmeier, T Phan, F Ritz, M Kiermeier, L Belzner, B Kempter, ...
International Journal on Software Tools for Technology Transfer 22, 457-476, 2020
152020
Acoustic leak detection in water networks
R Müller, S Illium, F Ritz, T Schröder, C Platschek, J Ochs, ...
Proceedings of the 13th International Conference on Agents and Artificial …, 2020
122020
Analysis of Feature Representations for Anomalous Sound Detection
R Müller, S Illium, F Ritz, K Schmid
Proceedings of the 13th International Conference on Agents and Artificial …, 2020
92020
Foraging swarms using multi-agent reinforcement learning
C Hahn, F Ritz, P Wikidal, T Phan, T Gabor, C Linnhoff-Popien
ALIFE 2020: The 2020 Conference on Artificial Life, 333-340, 2020
92020
Nash equilibria in multi-agent swarms
C Hahn, T Phan, S Feld, C Roch, F Ritz, A Sedlmeier, T Gabor, ...
Icaart: Proceedings of the 12Th International Conference on Agents and …, 2020
62020
VAST: Value Function Factorization with Variable Agent Sub-Teams
T Phan, F Ritz, L Belzner, P Altmann, T Gabor, C Linnhoff-Popien
Advances in Neural Information Processing Systems 34, 24018-24032, 2021
52021
Capturing dependencies within machine learning via a formal process model
F Ritz, T Phan, A Sedlmeier, P Altmann, J Wieghardt, R Schmid, H Sauer, ...
Leveraging Applications of Formal Methods, Verification and Validation …, 2022
32022
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
F Ritz, T Phan, R Müller, T Gabor, A Sedlmeier, M Zeller, J Wieghardt, ...
Proceedings of the 13th International Conference on Agents and Artificial …, 2021
32021
Towards ecosystem management from greedy reinforcement learning in a predator-prey setting
F Ritz, F Hohnstein, R Müller, T Phan, T Gabor, C Hahn, ...
Artificial Life Conference Proceedings 32, 518-525, 2020
32020
Deep Neural Baselines for Computational Paralinguistics
D Elsner, S Langer, F Ritz, R Mueller, S Illium
Interspeech 2019, 2388-2392, 2019
32019
Specification aware multi-agent reinforcement learning
F Ritz, T Phan, R Müller, T Gabor, A Sedlmeier, M Zeller, J Wieghardt, ...
Agents and Artificial Intelligence: 13th International Conference, ICAART …, 2022
22022
Emergent Cooperation from Mutual Acknowledgment Exchange
T Phan, F Sommer, P Altmann, F Ritz, L Belzner, C Linnhoff-Popien
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
22022
A sustainable ecosystem through emergent cooperation in multi-agent reinforcement learning
F Ritz, D Ratke, T Phan, L Belzner, C Linnhoff-Popien
Artificial Life Conference Proceedings 33 2021 (1), 74, 2021
22021
A Distributed Policy Iteration Scheme for Cooperative Multi-Agent Policy Approximation
T Phan, L Belzner, K Schmid, T Gabor, F Ritz, S Feld, C Linnhoff-Popien
Adaptive and Learning Agents Workshop (ALA@AAMAS ’20), 2020
12020
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing
P Altmann, F Ritz, L Feuchtinger, J Nüßlein, C Linnhoff-Popien, T Phan
arXiv preprint arXiv:2304.13616, 2023
2023
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