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Group by: Item Type | Date
Number of items: 10.

Journal article

Schmid, Kyrill; Belzner, Lenz; Phan, Thomy; Gabor, Thomas and 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: pp. 144-151

Phan, Thomy; Schmid, Kyrill; Belzner, Lenz; Gabor, Thomas; Feld, Sebastian and 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: pp. 2162-2164

Phan, Thomy; Belzner, Lenz; Kiermeier, Marie; Friedrich, Markus; Schmid, Kyrill and 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: pp. 7941-7948

Gabor, Thomas; Belzner, Lenz; Phan, Thomy and Schmid, Kyrill (2018): Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. In: 15Th Ieee International Conference on Autonomic Computing (Icac 2018): pp. 131-140

Schmid, Kyrill; Belzner, Lenz; Gabor, Thomas and Phan, Thomy (2018): Action Markets in Deep Multi-Agent Reinforcement Learning. In: Artificial Neural Networks and Machine Learning - Icann 2018, Pt Ii, Vol. 11140: pp. 240-249

Book Section

Schmid, Kyrill; Ritz, Fabian; Illium, Steffen and 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. pp. 97-106

Conference or Workshop Item

Sun, Xiyue; Pieroth, Fabian R.; Schmid, Kyrill; Wirsing, Martin and 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. pp. 113-118

Müller, Tobias; Roch, Christoph; Schmid, Kyrill and 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. pp. 121-130

Müller, Tobias; Schmid, Kyrill; Schuman, Daniëlle; Gabor, Thomas; Friedrich, Markus and 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. pp. 23-32

Schmid, Kyrill; Müller, Robert; Belzner, Lenz; Tochtermann, Johannes and 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), pp. 1-8

This list was generated on Sun Jun 2 12:26:44 2024 CEST.