Kyrill Schmid

32 papers A* 2A 2B 1C 1Misc 1Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2024 — conf
SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning.
AISoLA
Gerhard Stenzel, Kyrill Schmid, Michael Kölle, Philipp Altmann, Marian Lingsch Rosenfeld, Maximilian Zorn, Tim Bücher, Thomas Gabor, Martin Wirsing, Lenz Belzner
2023 — —
Dezentrale Marktmechanismen zur Förderung kooperativen Verhaltens in selbstinteressierten Multiagentensystemen.
Kyrill Schmid
2023 — conf
Learning to Participate Through Trading of Reward Shares.
ICAART (1)
Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
2023 J jnl
Learning to Participate through Trading of Reward Shares.
CoRR
Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid
2022 J jnl
Decentralized scheduling through an adaptive, trading-based multi-agent system.
CoRR
Michael Kölle, Lennart Rietdorf, Kyrill Schmid
2022 — conf
On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives.
ICDCS Workshops
Xiyue Sun, Fabian R. Pieroth, Kyrill Schmid, Martin Wirsing, Lenz Belzner
2022 — conf
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion.
ICAART (3)
Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz
2022 J jnl
Stochastic Market Games.
CoRR
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
2022 — conf
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines.
ICAART (1)
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
2021 — conf
Analysis of Feature Representations for Anomalous Sound Detection.
ICAART (2)
Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid
2021 B conf
Distributed Emergent Agreements with Deep Reinforcement Learning.
IJCNN
Kyrill Schmid, Robert Müller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien
2021 C conf
Learning to Penalize Other Learning Agents.
ALIFE
Kyrill Schmid, Lenz Belzner, Claudia Linnhoff-Popien
2021 J jnl
Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion.
CoRR
Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz
2021 A* conf
Stochastic Market Games.
IJCAI
Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien
2021 J jnl
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines.
CoRR
Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
2020 J jnl
Analysis of Feature Representations for Anomalous Sound Detection.
CoRR
Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid
2020 — conf
Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information.
ICAART (1)
Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien
2019 — conf
Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks.
PKDD/ECML Workshops (2)
Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien
2019 J jnl
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks.
CoRR
Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien
2019 A conf
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
AAMAS
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
2019 J jnl
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies.
CoRR
Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien
2019 A* conf
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling.
AAAI
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
2019 J jnl
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling.
CoRR
Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien
2018 — conf
Action Markets in Deep Multi-Agent Reinforcement Learning.
ICANN (2)
Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan
2018 A conf
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.
AAMAS
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
2018 J jnl
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation.
CoRR
Thomy Phan, Lenz Belzner, Thomas Gabor, Kyrill Schmid
2018 — conf
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
ICAC
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
2018 J jnl
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms.
CoRR
Thomas Gabor, Lenz Belzner, Thomy Phan, Kyrill Schmid
2018 Misc conf
Risk-Sensitivity in Simulation Based Online Planning.
KI
Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff
2018 J jnl
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents.
CoRR
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
2018 — conf
The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents.
ISoLA (3)
Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing
2017 — conf
Automated Recognition and Difficulty Assessment of Boulder Routes.
HealthyIoT
André Ebert, Kyrill Schmid, Chadly Marouane, Claudia Linnhoff-Popien