Michael Kölle

According to our database, Michael Kölle authored at least 44 papers between 2022 and 2025.

Collaborative distances:

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

2025

PIMAEX: Multi-Agent Exploration through Peer Incentivization.

Michael Kölle, Johannes Tochtermann, Julian Schönberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, January, 2025

2024

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.

Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien

Auton. Agents Multi Agent Syst., December, 2024

Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data.

Tobias Rohe, Barbara Böhm, Michael Kölle, Jonas Stein, Robert Müller, Claudia Linnhoff-Popien

CoRR, 2024

Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers.

Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, 2024

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling.

Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien

CoRR, 2024

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.

Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien

CoRR, 2024

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting.

Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor

CoRR, 2024

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2024

SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning.

Gerhard Stenzel, Kyrill Schmid, Michael Kölle, Philipp Altmann, Marian Lingsch-Rosenfeld, Maximilian Zorn, Tim Bücher, Thomas Gabor, Martin Wirsing, Lenz Belzner

Proceedings of the Bridging the Gap Between AI and Reality, 2024

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.

Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor

Proceedings of the IEEE International Conference on Quantum Software, 2024

Quantum Denoising Diffusion Models.

Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Software, 2024

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning.

Maximilian Zorn, Jonas Stein, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Solving Max-3SAT Using QUBO Approximation.

Sebastian Zielinski, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning.

Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Challenges for Reinforcement Learning in Quantum Circuit Design.

Philipp Altmann, Jonas Stein, Michael Kölle, Adelina Bärligea, Maximilian Zorn, Thomas Gabor, Thomy Phan, Sebastian Feld, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Towards Federated Learning on the Quantum Internet.

Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor

Proceedings of the Computational Science - ICCS 2024, 2024

Quantum Federated Learning for Image Classification.

Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.

Robert Müller, Hasan Turalic, Thomy Phan, Michael Kölle, Jonas Nüßlein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.

Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.

Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.

Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.

Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.

Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics Through Multi-Agent Reinforcement Learning Algorithms.

Michael Kölle, Yannick Erpelding, Fabian Ritz, Thomy Phan, Steffen Illium, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.

Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Circuit Design: A Reinforcement Learning Challenge.

Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Challenges for Reinforcement Learning in Quantum Computing.

Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2023

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern.

Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien

CoRR, 2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien

CoRR, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.

Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the International Conference on Machine Learning, 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

Compression of GPS Trajectories Using Autoencoders.

Michael Kölle, Steffen Illium, Carsten Hahn, Lorenz Schauer, Johannes Hutter, Claudia Linnhoff-Popien

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

Weight Re-mapping for Variational Quantum Algorithms.

Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien

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

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping.

Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Claudia Linnhoff-Popien

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

VoronoiPatches: Evaluating a New Data Augmentation Method.

Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien

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

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.

Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.

Michael Kölle, Steffen Illium, Maximilian Zorn, Jonas Nüßlein, Patrick Suchostawski, Claudia Linnhoff-Popien

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.

Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

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

Michael Kölle, Lennart Rietdorf, Kyrill Schmid

CoRR, 2022

Constructing Organism Networks from Collaborative Self-Replicators.

Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Quantifying Multimodality in World Models.

Andreas Sedlmeier, Michael Kölle, Robert Müller, Leo Baudrexel, Claudia Linnhoff-Popien

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