| Learning to participate through trading of reward shares M Kölle, T Matheis, P Altmann, K Schmid arXiv preprint arXiv:2301.07416, 2023 | 5 | 2023 |
| Improving convergence for quantum variational classifiers using weight re-mapping M Kölle, A Giovagnoli, J Stein, MB Mansky, J Hager, C Linnhoff-Popien arXiv preprint arXiv:2212.14807, 2022 | 5 | 2022 |
| Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA J Stein, F Chamanian, M Zorn, J Nüßlein, S Zielinski, M Kölle, ... Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 4 | 2023 |
| Attention-based recurrence for multi-agent reinforcement learning under stochastic partial observability T Phan, F Ritz, P Altmann, M Zorn, J Nüßlein, M Kölle, T Gabor, ... International Conference on Machine Learning, 27840-27853, 2023 | 3 | 2023 |
| Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. T Phan, F Ritz, J Nüßlein, M Kölle, T Gabor, C Linnhoff-Popien AAMAS, 2839-2841, 2023 | 2 | 2023 |
| Towards Federated Learning on the Quantum Internet L Sünkel, M Kölle, T Rohe, T Gabor arXiv preprint arXiv:2402.09902, 2024 | 1 | 2024 |
| A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis M Kölle, T Schubert, P Altmann, M Zorn, J Stein, C Linnhoff-Popien arXiv preprint arXiv:2401.07054, 2024 | 1 | 2024 |
| Quantum Advantage Actor-Critic for Reinforcement Learning M Kölle, M Hgog, F Ritz, P Altmann, M Zorn, J Stein, C Linnhoff-Popien arXiv preprint arXiv:2401.07043, 2024 | 1 | 2024 |
| Challenges for Reinforcement Learning in Quantum Computing P Altmann, A Bärligea, J Stein, M Kölle, T Gabor, T Phan, ... arXiv preprint arXiv:2312.11337, 2023 | 1 | 2023 |
| Exploring unsupervised anomaly detection with quantum boltzmann machines in fraud detection J Stein, D Schuman, M Benkard, T Holger, W Sajko, M Kölle, J Nüßlein, ... arXiv preprint arXiv:2306.04998, 2023 | 1 | 2023 |
| Weight Re-Mapping for Variational Quantum Algorithms M Kölle, A Giovagnoli, J Stein, MB Mansky, J Hager, T Rohe, R Müller, ... International Conference on Agents and Artificial Intelligence, 286-309, 2023 | 1 | 2023 |
| Constructing Organism Networks from Collaborative Self-Replicators S Illium, M Zorn, C Lenta, M Kölle, C Linnhoff-Popien, T Gabor 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1268-1275, 2022 | 1 | 2022 |
| Quantifying Multimodality in World Models A Sedlmeier, M Kölle, R Müller, L Baudrexel, C Linnhoff-Popien arXiv preprint arXiv:2112.07263, 2021 | 1 | 2021 |
| Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting G Stenzel, S Zielinski, M Kölle, P Altmann, J Nüßlein, T Gabor arXiv preprint arXiv:2404.09213, 2024 | | 2024 |
| MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange P Altmann, K Winter, M Kölle, M Zorn, T Phan, C Linnhoff-Popien arXiv preprint arXiv:2404.03431, 2024 | | 2024 |
| Quantum Denoising Diffusion Models M Kölle, G Stenzel, J Stein, S Zielinski, B Ommer, C Linnhoff-Popien arXiv preprint arXiv:2401.07049, 2024 | | 2024 |
| Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms M Kölle, Y Erpelding, F Ritz, T Phan, S Illium, C Linnhoff-Popien arXiv preprint arXiv:2401.07056, 2024 | | 2024 |
| ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering R Müller, H Turalic, T Phan, M Kölle, J Nüßlein, C Linnhoff-Popien arXiv preprint arXiv:2401.03504, 2024 | | 2024 |
| Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements M Kölle, A Ahouzi, P Debus, R Müller, D Schuman, C Linnhoff-Popien arXiv preprint arXiv:2312.09174, 2023 | | 2023 |
| Discriminative Reward Co-Training P Altmann, F Ritz, M Zorn, M Kölle, T Phan, T Gabor, C Linnhoff-Popien | | 2023 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUBestätigte E-Mail-Adresse bei ifi.lmu.de
