Anzahl der Publikationen: 24
Zeitschriftenartikel
Phan, Thomy; Sommer, Felix; Ritz, Fabian
ORCID: https://orcid.org/0000-0001-7707-1358; Altmann, Philipp; Nüßlein, Jonas
ORCID: https://orcid.org/0000-0001-7129-1237; Kölle, Michael; Belzner, Lenz und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(11. Juli 2024):
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.
In: Autonomous Agents and Multi-Agent Systems, Bd. 38, 34
[PDF, 16MB]
Hahn, Carsten; Phan, Thomy; Feld, Sebastian; Roch, Christoph; Ritz, Fabian; Sedlmeier, Andreas; Gabor, Thomas und Linnhoff-Popien, Claudia
(2020):
Nash Equilibria in Multi-Agent Swarms.
In: Icaart: Proceedings of the 12Th International Conference on Agents and Artificial Intelligence, Vol 1: S. 234-241
Gabor, Thomas; Sedlmeier, Andreas; Phan, Thomy; Ritz, Fabian; Kiermeier, Marie; Belzner, Lenz; Kempter, Bernhard; Klein, Cornel; Sauer, Horst; Schmid, Reiner; Wieghardt, Jan; Zeller, Marc und Linnhoff-Popien, Claudia
(2020):
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.
In: International Journal on Software Tools for Technology Transfer, Bd. 22: S. 457-476
[PDF, 1MB]
Phan, Thomy; Belzner, Lenz; Kiermeier, Marie; Friedrich, Markus; Schmid, Kyrill und Linnhoff-Popien, Claudia
(2019):
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.
In: Thirty-Third Aaai Conference on Artificial Intelligence / Thirty-First Innovative Applications of Artificial Intelligence Conference / Ninth Aaai Symposium on Educational Advances in Artificial Intelligence: S. 7941-7948
Gabor, Thomas; Sedlmeier, Andreas; Kiermeier, Marie; Phan, Thomy; Henrich, Marcel; Pichlmair, Monika; Kempter, Bernhard; Klein, Cornel; Sauer, Horst; Schmid, Reiner und Wieghardt, Jan
(2019):
Scenario Co-Evolution for Reinforcement Learning on a Grid World Smart Factory Domain.
In: Proceedings of the 2019 Genetic and Evolutionary Computation Conference (Gecco'19): S. 898-906
Buchbeitrag
Linnhoff-Popien, Claudia; Klein, Cornel; Sauer, Horst; Schmid, Reiner; Wieghardt, Jan; Zeller, Marc; Sedlmeier, Andreas; Gabor, Thomas; Müller, Robert; Phan, Thomy und Ritz, Fabian
(2021):
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
In: Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
Proceedings of the 13th International Conference on Agents and Artificial Intelligence (Volume 1). ICAART, Setúbal, Portuagl: SciTePress. S. 28-37
Konferenzbeitrag
Kölle, Michael; Schneider, Karola; Egger, Sabrina; Topp, Felix; Phan, Thomy; Altmann, Philipp
ORCID: https://orcid.org/0000-0003-1134-176X; Nüßlein, Jonas
ORCID: https://orcid.org/0000-0001-7129-1237 und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2025):
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.
ICAART 2024: International Conference on Agents and Artificial Intelligence, Rome, Italy, 24. - 26. Februar 2024.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Agents and Artificial Intelligence: 16th International Conference, ICAART 2024,
Bd. 1
Cham: Springer Nature Switzerland. S. 50-79
Müller, Robert
ORCID: https://orcid.org/0000-0003-3108-713X; Turalic, Hasan; Phan, Thomy; Kölle, Michael; Nüßlein, Jonas
ORCID: https://orcid.org/0000-0001-7129-1237 und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.
ICAART 2024: International Conference on Agents and Artificial Intelligence, Rome, Italy, 24. Februar 2024 - 26. Februar 2024.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence,
Bd. 1
Setúbal: SciTePress. S. 305-312
Altmann, Philipp
ORCID: https://orcid.org/0000-0003-1134-176X; Bärligea, Adelina; Stein, Jonas
ORCID: https://orcid.org/0000-0001-5727-9151; Kölle, Michael; Gabor, Thomas
ORCID: https://orcid.org/0000-0003-2048-8667; Phan, Thomy und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
Quantum Circuit Design: A Reinforcement Learning Challenge.
AAMAS 2024: International Conference on Autonomous Agents and Multiagent Systems, Auckland, New Zealand, 06.- 10. Mai 2024.
Dastani, Mehdi; Sichman, Jaime Simão; Alechina, Natasha und Dignum, Virginia (Hrsg.):
In: AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems,
Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems. S. 2123-2125
Kölle, Michael; Topp, Felix; Phan, Thomy; Altmann, Philipp
ORCID: https://orcid.org/0000-0003-1134-176X; Nüßlein, Jonas
ORCID: https://orcid.org/0000-0001-7129-1237 und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.
ICAART 2024: International Conference on Agents and Artificial Intelligence, Rom, Italien, 24. - 26. Februar 2024.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence,
Bd. 1
Setúbal: SciTePress. S. 71-82
Kölle, Michael; Erpelding, Yannick; Ritz, Fabian
ORCID: https://orcid.org/0000-0001-7707-1358; Phan, Thomy; Illium, Steffen und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms.
ICAART 2024: International Conference on Agents and Artificial Intelligence, Rom, Italien, 24. - 26. Februar 2024.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence,
Bd. 1
Setúbal: SciTePress. S. 59-70
Phan, Thomy; Ritz, Fabian
ORCID: https://orcid.org/0000-0001-7707-1358; Nüßlein, Jonas
ORCID: https://orcid.org/0000-0001-7129-1237; Kölle, Michael; Gabor, Thomas
ORCID: https://orcid.org/0000-0003-2048-8667 und Linnhoff-Popien, Claudia
ORCID: https://orcid.org/0000-0001-6284-9286
(2023):
Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.
AAMAS 2023: International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29. Mai - 02. Juni 2023.
In: AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems,
Richland: International Foundation for Autonomous Agents and Multiagent Systems. S. 2839-2841
Altmann, Philipp; Ritz, Fabian
ORCID: https://orcid.org/0000-0001-7707-1358; Feuchtinger, Leonard; Nüßlein, Jonas; Linnhoff-Popien, Claudia und Phan, Thomy
(2023):
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.
Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}, Macao, SAR, 2023.08.19-25.
Elkind, Edith (Hrsg.):
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
Vienna, Austria: International Joint Conferences on Artificial Intelligence. S. 3414-3422
Ritz, Fabian
ORCID: https://orcid.org/0000-0001-7707-1358; Phan, Thomy; Müller, Robert
ORCID: https://orcid.org/0000-0003-3108-713X; Gabor, Thomas; Sedlmeier, Andreas; Zeller, Marc; Wieghardt, Jan; Schmid, Reiner; Sauer, Horst; Klein, Cornel und Linnhoff-Popien, Claudia
(2022):
Specification Aware Multi-Agent Reinforcement Learning.
13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Agents and Artificial Intelligence. 13th International Conference, ICAART 2021, Virtual Event, February 4–6, 2021, Revised Selected Papers, Lecture Notes in Computer Science
Bd. 13251
Cham: Springer. S. 3-21
Phan, Thomy; Belzner, Lenz; Gabor, Thomas; Sedlmeier, Andreas; Ritz, Fabian und Linnhoff-Popien, Claudia
(2021):
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Event, February 2-9, 2021.
In: Proceedings of the AAAI Conference on Artificial Intelligence,
Bd. 35, Nr. 13
AAAI Press. S. 11308-11316
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