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Dokumententyp
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Anzahl der Publikationen: 10
Zeitschriftenartikel
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
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
Schmid, Kyrill; Ritz, Fabian; Illium, Steffen und Müller, Robert
(2021):
Analysis of Feature Representations for Anomalous Sound Detection.
In:
Proceedings of the 13th International Conference on Agents and Artificial Intelligence (Volume 2). ICAART, Setúbal, Portuagl: SciTePress. S. 97-106
Konferenzbeitrag
Sun, Xiyue; Pieroth, Fabian R.; Schmid, Kyrill; Wirsing, Martin und Belzner, Lenz
(2022):
On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives.
42nd International Conference on Distributed Computing Systems Workshops (ICDCSW), Bologna, Italy, 10 July 2022.
In: 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW),
IEEE. S. 113-118
Müller, Tobias; Roch, Christoph; Schmid, Kyrill und Altmann, Philipp
(2022):
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines.
14th International Conference on Agents and Artificial Intelligence (ICAART), Online, 3. Feb. 2022 – 5. Feb. 2022.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence. Volume 1,
Setúbal: SciTePress - Science and Technology Publications. S. 121-130
Müller, Tobias; Schmid, Kyrill; Schuman, Daniëlle; Gabor, Thomas; Friedrich, Markus und Geitz, Marc
(2022):
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion.
14th International Conference on Agents and Artificial Intelligence (ICAART), Online, 3. Feb. 2022 – 5. Feb. 2022.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence. Volume 3,
Setúbal: SciTePress - Science and Technology Publications. S. 23-32
Schmid, Kyrill; Müller, Robert; Belzner, Lenz; Tochtermann, Johannes und Linnhoff-Popien, Claudia
(2021):
Distributed Emergent Agreements with Deep Reinforcement Learning.
2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July 2021.
In: 2021 International Joint Conference on Neural Networks (IJCNN),
S. 1-8