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Number of items: 7.
2021
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), 18-22 July 2021, Shenzhen, China.
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
2020
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
2019
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
2018
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