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Anzahl der Publikationen: 15
Zeitschriftenartikel
Gabor, Thomas; Phan, Thomy und Linnhoff-Popien, Claudia
(2021):
Productive fitness in diversity-aware evolutionary algorithms.
In: Natural Computing, Bd. 20, Nr. 3: S. 363-376
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]
Roch, Christoph; Impertro, Alexander; Phan, Thomy; Gabor, Thomas; Feld, Sebastian und Linnhoff-Popien, Claudia
(2020):
Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA.
In: 2020 International Conference on Rebooting Computing (Icrc 2020): S. 50-57
Schmid, Kyrill; Belzner, Lenz; Phan, Thomy; Gabor, Thomas und Linnhoff-Popien, Claudia
(2020):
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.
In: Icaart: Proceedings of the 12Th International Conference on Agents and Artificial Intelligence, Vol 1: S. 144-151
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
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
Hahn, Carsten; Phan, Thomy; Gabor, Thomas; Belzner, Lenz und Linnhoff-Popien, Claudia
(2019):
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning.
In: Alife 2019: the 2019 Conference on Artificial Life: S. 598-605
Phan, Thomy; Schmid, Kyrill; Belzner, Lenz; Gabor, Thomas; Feld, Sebastian und Linnhoff-Popien, Claudia
(2019):
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
In: Aamas '19: Proceedings of the 18Th International Conference on Autonomous Agents and Multiagent Systems: S. 2162-2164
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; Belzner, Lenz; Phan, Thomy und Schmid, Kyrill
(2018):
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
In: 15Th Ieee International Conference on Autonomic Computing (Icac 2018): S. 131-140
Schmid, Kyrill; Belzner, Lenz; Gabor, Thomas und Phan, Thomy
(2018):
Action Markets in Deep Multi-Agent Reinforcement Learning.
In: Artificial Neural Networks and Machine Learning - Icann 2018, Pt Ii, Bd. 11140: S. 240-249
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
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
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