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Dokumententyp
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Anzahl der Publikationen: 11
Zeitschriftenartikel
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]
Sedlmeier, Andreas; Gabor, Thomas; Phan, Thomy; Belzner, Lenz und Linnhoff-Popien, Claudia
(2020):
Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning.
In: Icaart: Proceedings of the 12Th International Conference on Agents and Artificial Intelligence, Vol 2: S. 522-529
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
Feld, Sebastian; Sedlmeier, Andreas; Friedrich, Markus; Franz, Jan und Belzner, Lenz
(2019):
Bayesian Surprise in Indoor Environments.
In: 27Th Acm Sigspatial International Conference on Advances in Geographic Information Systems (Acm Sigspatial Gis 2019): S. 129-138
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
Sedlmeier, Andreas und Feld, Sebastian
(2018):
Learning indoor space perception.
In: Journal of Location Based Services, Bd. 12, Nr. 3-4: S. 179-214
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
Sedlmeier, Andreas; Kölle, Michael; Müller, Robert; Baudrexel, Leo und Linnhoff-Popien, Claudia
(2022):
Quantifying Multimodality in World Models.
14th International Conference on Agents and Artificial Intelligence, Online, 3-5 February, 2022.
Rocha, Ana Paula; Steels, Luc und Herik, Jaap van den (Hrsg.):
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence. Vol. 1,
Setúbal: SciTePress - Science and Technology Publications. S. 367-374
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
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
Sedlmeier, Andreas; Kölle, Michael; Müller, Robert ORCID: https://orcid.org/0000-0003-3108-713X; Baudrexel, Leo und Linnhoff-Popien, Claudia ORCID: https://orcid.org/0000-0001-6284-9286
(2022):
Quantifying Multimodality in World Models.
14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, Vienna, Austria, 03. Februar 2022 - 05. Februar 2022.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence,
Bd. 1
SciTePress. S. 367-374
ORCID: https://orcid.org/0000-0003-3108-713X; Baudrexel, Leo und Linnhoff-Popien, Claudia ORCID: https://orcid.org/0000-0001-6284-9286
(2022):
Quantifying Multimodality in World Models.
14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, Vienna, Austria, 03. Februar 2022 - 05. Februar 2022.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence,
Bd. 1
SciTePress. S. 367-374
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