Goals for Self-Replicating Neural Networks. - Thomas Gabor; Steffen Illium; Maximilian Zorn; Claudia Linnhoff-Popien (ALIFE, 2021)

The applicability of reinforcement learning for the automatic generation of state preparation circuits. - Thomas Gabor; Maximilian Zorn; Claudia Linnhoff-Popien (GECCO Companion, 2022)

Constructing Organism Networks from Collaborative Self-Replicators. - Steffen Illium; Maximilian Zorn; Cristian Lenta; Michael Kölle 001; Claudia Linnhoff-Popien; Thomas Gabor (SSCI, 2022)

Self-Replication in Neural Networks. - Thomas Gabor; Steffen Illium; Maximilian Zorn; Cristian Lenta; Andy Mattausch; Lenz Belzner; Claudia Linnhoff-Popien (Artif. Life, 2022)

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning. - Michael Kölle 001; Steffen Illium; Maximilian Zorn; Jonas Nüßlein; Patrick Suchostawski; Claudia Linnhoff-Popien (DeLTA, 2023)

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA. - Jonas Stein 001; Farbod Chamanian; Maximilian Zorn; Jonas Nüßlein; Sebastian Zielinski; Michael Kölle 001; Claudia Linnhoff-Popien (GECCO Companion, 2023)

VoronoiPatches: Evaluating a New Data Augmentation Method. - Steffen Illium; Gretchen Griffin; Michael Kölle 001; Maximilian Zorn; Jonas Nüßlein; Claudia Linnhoff-Popien (ICAART (3), 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)

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; Claudia Linnhoff-Popien (CoRR, 2023)

Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs. - Sebastian Zielinski; Maximilian Zorn; Thomas Gabor; Sebastian Feld; Claudia Linnhoff-Popien (GECCO Companion, 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)

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern. - Jonas Stein 001; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle 001; 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)

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)

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)

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. - Jonas Stein 001; Jonas Blenninger; David Bucher; Josef Peter Eder; Elif Çetiner; Maximilian Zorn; Claudia Linnhoff-Popien (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)

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)

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA. - Jonas Blenninger; Jonas Stein 001; David Bucher; Josef Peter Eder; Elif Çetiner; Maximilian Zorn; Claudia Linnhoff-Popien (Zenodo, 2024)

Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. - Michael Kölle 001; Tom Bintener; Maximilian Zorn; Gerhard Stenzel; Leo Sünkel; Thomas Gabor; Claudia Linnhoff-Popien (GECCO, 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)

Optimizing Sensor Redundancy in Sequential Decision-Making Problems. - Jonas Nüßlein; Maximilian Zorn; Fabian Ritz; Jonas Stein 001; Gerhard Stenzel; Julian Schönberger; Thomas Gabor; Claudia Linnhoff-Popien (ICAART (1), 2025)

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs. - Tobias Rohe; Florian Burger; Michael Kölle 001; Sebastian Wölckert; Maximilian Zorn; Claudia Linnhoff-Popien (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)