Benchmarking surrogate-assisted genetic recommender systems. - Thomas Gabor; Philipp Altmann (GECCO (Companion), 2019)

VAST: Value Function Factorization with Variable Agent Sub-Teams. - Thomy Phan; Fabian Ritz; Lenz Belzner; Philipp Altmann; Thomas Gabor; Claudia Linnhoff-Popien (NeurIPS, 2021)

Emergent Cooperation from Mutual Acknowledgment Exchange. - Thomy Phan; Felix Sommer; Philipp Altmann; Fabian Ritz; Lenz Belzner; Claudia Linnhoff-Popien (AAMAS, 2022)

Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines. - Tobias Müller; Christoph Roch; Kyrill Schmid; Philipp Altmann (ICAART (1), 2022)

Capturing Dependencies Within Machine Learning via a Formal Process Model. - Fabian Ritz; Thomy Phan; Andreas Sedlmeier; Philipp Altmann; Jan Wieghardt; Reiner N. Schmid; Horst Sauer; Cornel Klein; Claudia Linnhoff-Popien; Thomas Gabor (ISoLA (3), 2022)

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. - Philipp Altmann; Leo Sünkel; Jonas Stein 001; Tobias Müller; Christoph Roch; Claudia Linnhoff-Popien (ICAART (3), 2023)

Learning to Participate Through Trading of Reward Shares. - Michael Kölle 001; Tim Matheis; Philipp Altmann; Kyrill Schmid (ICAART (1), 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 001; Thomas Gabor; Claudia Linnhoff-Popien (ICML, 2023)

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. - Philipp Altmann; Fabian Ritz; Leonard Feuchtinger; Jonas Nüßlein; Claudia Linnhoff-Popien; Thomy Phan (IJCAI, 2023)

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. - Daniëlle Schuman; Leo Sünkel; Philipp Altmann; Jonas Stein 001; Christoph Roch; Thomas Gabor; Claudia Linnhoff-Popien (QCE, 2023)

Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. - Leo Sünkel; Darya Martyniuk; Julia J. Reichwald; Andrei Morariu; Raja Havish Seggoju; Philipp Altmann; Christoph Roch; Adrian Paschke (QCE, 2023)

DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. - Philipp Altmann; Thomy Phan; Fabian Ritz; Thomas Gabor; Claudia Linnhoff-Popien (CoRR, 2023)

Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem. - Jonas Stein 001; Jezer Jojo; Afrah Farea; David Bucher; Philipp Altmann; Claudia Linnhoff-Popien (CoRR, 2023)

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (CoRR, 2023)

Challenges for Reinforcement Learning in Quantum Computing. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (CoRR, 2023)

Quantum Circuit Design: A Reinforcement Learning Challenge. - Philipp Altmann; Adelina Bärligea; Jonas Stein 001; Michael Kölle 001; Thomas Gabor; Thomy Phan; Claudia Linnhoff-Popien (AAMAS, 2024)

Final Productive Fitness for Surrogates in Evolutionary Algorithms. - Maximilian Zorn; Sarah Gerner; Philipp Altmann; Thomas Gabor (GECCO Companion, 2024)

Quantum Advantage Actor-Critic for Reinforcement Learning. - Michael Kölle 001; Mohamad Hgog; Fabian Ritz; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (3), 2024)

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. - Jonas Stein 001; Michael Poppel; Philip Adamczyk; Ramona Fabry; Zixin Wu; Michael Kölle 001; Jonas Nüßlein; Daniëlle Schuman; Philipp Altmann; Thomas Ehmer; Vijay Narasimhan; Claudia Linnhoff-Popien (ICAART (3), 2024)

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. - Jonas Stein 001; Navid Roshani; Maximilian Zorn; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien (ICAART (2), 2024)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. - Michael Kölle 001; Tom Schubert; Philipp Altmann; Maximilian Zorn; Jonas Stein 001; Claudia Linnhoff-Popien (ICAART (1), 2024)

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. - Michael Kölle 001; Felix Topp; Thomy Phan; Philipp Altmann; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (1), 2024)

Quantum Transfer Learning: The Impact of Classical Preprocessing. - Michael Kölle 001; Jonas Maurer; Philipp Altmann; Leo Sünkel; Jonas Stein 001; Julian Hager; Sebastian Zielinski; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. - Michael Kölle 001; Karola Schneider; Sabrina Egger; Felix Topp; Thomy Phan; Philipp Altmann; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers. - Navid Roshani; Jonas Stein 001; Maximilian Zorn; Michael Kölle 001; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (Revised Selected Paper, 1), 2024)

Quantum Federated Learning for Image Classification. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (ICAART (3), 2024)

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. - Philipp Altmann; Céline Davignon; Maximilian Zorn; Fabian Ritz; Claudia Linnhoff-Popien; Thomas Gabor (IJCCI, 2024)

Finding Strong Lottery Ticket Networks with Genetic Algorithms. - Philipp Altmann; Julian Schönberger; Maximilian Zorn; Thomas Gabor (IJCCI, 2024)

Emergence in Multi-agent Systems: A Safety Perspective. - Philipp Altmann; Julian Schönberger; Steffen Illium; Maximilian Zorn; Fabian Ritz; Tom Haider; Simon Burton 001; Thomas Gabor (ISoLA (2), 2024)

Challenges for Reinforcement Learning in Quantum Circuit Design. - Philipp Altmann; Jonas Stein 001; Michael Kölle 001; Adelina Bärligea; Maximilian Zorn; Thomas Gabor; Thomy Phan; Sebastian Feld; Claudia Linnhoff-Popien (QCE, 2024)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. - Michael Kölle 001; Daniel Seidl; Maximilian Zorn; Philipp Altmann; Jonas Stein 001; Thomas Gabor (QCE, 2024)

On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Thomas Gabor (QCE, 2024)

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning. - Maximilian Zorn; Jonas Stein 001; Philipp Altmann; Michael Kölle 001; Claudia Linnhoff-Popien; Thomas Gabor (QCE, 2024)

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. - Michael Kölle 001; Timo Witter; Tobias Rohe; Gerhard Stenzel; Philipp Altmann; Thomas Gabor (QSW, 2024)

SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. - Gerhard Stenzel; Kyrill Schmid; Michael Kölle 001; Philipp Altmann; Marian Lingsch Rosenfeld; Maximilian Zorn; Tim Bücher; Thomas Gabor; Martin Wirsing; Lenz Belzner (AISoLA, 2024)

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. - Philipp Altmann; Katharina Winter; Michael Kölle 001; Maximilian Zorn; Thomy Phan; Claudia Linnhoff-Popien (CoRR, 2024)

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. - Thomy Phan; Felix Sommer; Fabian Ritz; Philipp Altmann; Jonas Nüßlein; Michael Kölle 001; Lenz Belzner; Claudia Linnhoff-Popien (Auton. Agents Multi Agent Syst., 2024)

Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. - Leo Sünkel; Philipp Altmann; Michael Kölle 001; Gerhard Stenzel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 2025)

PIMAEX: Multi-Agent Exploration Through Peer Incentivization. - Michael Kölle 001; Johannes Tochtermann; Julian Schönberger; Gerhard Stenzel; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (1), 2025)

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. - Philipp Altmann; Katharina Winter; Michael Kölle 001; Maximilian Zorn; Claudia Linnhoff-Popien (ICAART (1), 2025)

Swarm Behavior Cloning. - Jonas Nüßlein; Maximilian Zorn; Philipp Altmann; Claudia Linnhoff-Popien (ICAART (1), 2025)

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. - Gerhard Stenzel; Sebastian Zielinski; Michael Kölle 001; Philipp Altmann; Jonas Nüßlein; Thomas Gabor (ICAART (1), 2025)

Surrogate Fitness Metrics for Interpretable Reinforcement Learning. - Philipp Altmann; Céline Davignon; Maximilian Zorn; Fabian Ritz; Claudia Linnhoff-Popien; Thomas Gabor (CoRR, 2025)

Discriminative reward co-training. - Philipp Altmann; Fabian Ritz; Maximilian Zorn; Michael Kölle 001; Thomy Phan; Thomas Gabor; Claudia Linnhoff-Popien (Neural Comput. Appl., 2025)