Kyrill Schmid

According to our database, Kyrill Schmid authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Dezentrale Marktmechanismen zur Förderung kooperativen Verhaltens in selbstinteressierten Multiagentensystemen.

Kyrill Schmid

PhD thesis, 2023

Learning to Participate Through Trading of Reward Shares.

Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022

Decentralized scheduling through an adaptive, trading-based multi-agent system.

Michael Kölle, Lennart Rietdorf, Kyrill Schmid

CoRR, 2022

On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives.

Xiyue Sun, Fabian R. Pieroth, Kyrill Schmid, Martin Wirsing, Lenz Belzner

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion.

Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines.

Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Learning to Penalize Other Learning Agents.

Kyrill Schmid, Lenz Belzner, Claudia Linnhoff-Popien

Proceedings of the 2021 Conference on Artificial Life, 2021

Distributed Emergent Agreements with Deep Reinforcement Learning.

Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien

Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Market Games.

Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Analysis of Feature Representations for Anomalous Sound Detection.

Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.

Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019

Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks.

Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.

Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.

Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Risk-Sensitivity in Simulation Based Online Planning.

Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents.

Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems, 2018

Action Markets in Deep Multi-Agent Reinforcement Learning.

Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.

Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid

Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.

Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Automated Recognition and Difficulty Assessment of Boulder Routes.

André Ebert, Kyrill Schmid, Chadly Marouane, Claudia Linnhoff-Popien

Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017