| 2025 | ICAART | The Evolution of Criticality in Deep Reinforcement Learning. | Chidvilas Karpenahalli Ramakrishna, Adithya Mohan, Zahra Zeinaly, Lenz Belzner |
| 2024 | ICML | Detecting Influence Structures in Multi-Agent Reinforcement Learning. | Fabian Raoul Pieroth, Katherine E. Fitch, Lenz Belzner |
| 2024 | VECoS | SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning. | Gerhard Stenzel, Kyrill Schmid, Michael Klle, Philipp Altmann, Marian Lingsch Rosenfeld, Maximilian Zorn, Tim Bcher, Thomas Gabor, Martin Wirsing, Lenz Belzner |
| 2023 | VECoS | Large Language Model Assisted Software Engineering: Prospects, Challenges, and a Case Study. | Lenz Belzner, Thomas Gabor, Martin Wirsing |
| 2022 | ICDCS | On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives. | Xiyue Sun, Fabian R. Pieroth, Kyrill Schmid, Martin Wirsing, Lenz Belzner |
| 2021 | AAAI | Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. | Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien |
| 2021 | ICONIP | DYME: A Dynamic Metric for Dialog Modeling Learned from Human Conversations. | Florian von Unold, Monika Wintergerst, Lenz Belzner, Georg Groh |
| 2021 | IJCAI | Stochastic Market Games. | Kyrill Schmid, Lenz Belzner, Robert Mller, Johannes Tochtermann, Claudia Linnhoff-Popien |
| 2021 | IJCNN | Distributed Emergent Agreements with Deep Reinforcement Learning. | Kyrill Schmid, Robert Mller, Lenz Belzner, Johannes Tochtermann, Claudia Linnhoff-Popien |
| 2020 | ICAART | Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. | Kyrill Schmid, Lenz Belzner, Thomy Phan, Thomas Gabor, Claudia Linnhoff-Popien |
| 2020 | ICAART | Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning. | Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien |
| 2020 | ICSE | The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. | Thomas Gabor, Leo Snkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien |
| 2019 | AAAI | Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. | Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, Claudia Linnhoff-Popien |
| 2018 | GECCO | Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms. | Thomas Gabor, Lenz Belzner, Claudia Linnhoff-Popien |
| 2018 | ICANN | Action Markets in Deep Multi-Agent Reinforcement Learning. | Kyrill Schmid, Lenz Belzner, Thomas Gabor, Thomy Phan |
| 2018 | ISoLA | The Sharer's Dilemma in Collective Adaptive Systems of Self-interested Agents. | Lenz Belzner, Kyrill Schmid, Thomy Phan, Thomas Gabor, Martin Wirsing |
| 2018 | KI | Risk-Sensitivity in Simulation Based Online Planning. | Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff |
| 2017 | GECCO | Genealogical distance as a diversity estimate in evolutionary algorithms. | Thomas Gabor, Lenz Belzner |
| 2017 | ICSE | Bayesian Verification under Model Uncertainty. | Lenz Belzner, Thomas Gabor |
| 2017 | ICSE | Stacked Thompson Bandits. | Lenz Belzner, Thomas Gabor |
| 2016 | ICSE | Software engineering for distributed autonomous real-time systems. | Lenz Belzner, Michael Till Beck, Thomas Gabor, Harald Roelle, Horst Sauer |
| 2016 | SAC | Time-adaptive cross entropy planning. | Lenz Belzner |
| 2016 | SAC | Learning relational probabilistic action models for online planning with decision forests. | Lenz Belzner, Alexander Neitz |
| 2014 | Coordination | Verifiable Decisions in Autonomous Concurrent Systems. | Lenz Belzner |