Kyrill Schmid

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 30

Top Topics

Function Approximation

Policy Iteration

Boltzmann Machines

Top Venues

Publications

Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
Learning to Participate Through Trading of Reward Shares. ICAART (1) (2023)
Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
Learning to Participate through Trading of Reward Shares. CoRR (2023)
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines. ICAART (1) (2022)
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
Stochastic Market Games. CoRR (2022)
Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. ICAART (3) (2022)
Xiyue Sun, Fabian R. Pieroth, Kyrill Schmid, Martin Wirsing, Lenz Belzner
On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives. ICDCS Workshops (2022)
Michael Kölle, Lennart Rietdorf, Kyrill Schmid
Decentralized scheduling through an adaptive, trading-based multi-agent system. CoRR (2022)
Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid
Analysis of Feature Representations for Anomalous Sound Detection. ICAART (2) (2021)
Kyrill Schmid, Lenz Belzner, Claudia Linnhoff-Popien
Learning to Penalize Other Learning Agents. ALIFE (2021)
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
Stochastic Market Games. IJCAI (2021)
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines. CoRR (2021)
Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion. CoRR (2021)
Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien
Distributed Emergent Agreements with Deep Reinforcement Learning. IJCNN (2021)
Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid
Analysis of Feature Representations for Anomalous Sound Detection. CoRR (2020)
Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. ICAART (1) (2020)
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling. CoRR (2019)
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. AAAI (2019)
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. AAMAS (2019)
Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien
Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks. PKDD/ECML Workshops (2) (2019)
Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks. CoRR (2019)
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. CoRR (2019)
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. ISoLA (3) (2018)
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents. CoRR (2018)
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. CoRR (2018)
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. AAMAS (2018)
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms. ICAC (2018)
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. CoRR (2018)
Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan
Action Markets in Deep Multi-Agent Reinforcement Learning. ICANN (2) (2018)
Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff
Risk-Sensitivity in Simulation Based Online Planning. KI (2018)
André Ebert, Kyrill Schmid, Chadly Marouane, Claudia Linnhoff-Popien
Automated Recognition and Difficulty Assessment of Boulder Routes. HealthyIoT (2017)