Vast: Value function factorization with variable agent sub-teams T Phan, F Ritz, L Belzner, P Altmann, T Gabor, C Linnhoff-Popien Advances in Neural Information Processing Systems 34, 24018-24032, 2021 | 18 | 2021 |
Capturing dependencies within machine learning via a formal process model F Ritz, T Phan, A Sedlmeier, P Altmann, J Wieghardt, R Schmid, H Sauer, ... International Symposium on Leveraging Applications of Formal Methods, 249-265, 2022 | 9 | 2022 |
Emergent cooperation from mutual acknowledgment exchange T Phan, F Sommer, P Altmann, F Ritz, L Belzner, C Linnhoff-Popien Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 6 | 2022 |
Learning to Participate through Trading of Reward Shares M Kölle, T Matheis, P Altmann, K Schmid arXiv preprint arXiv:2301.07416, 2023 | 5 | 2023 |
Benchmarking surrogate-assisted genetic recommender systems T Gabor, P Altmann Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 5 | 2019 |
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 | 4 | 2023 |
Towards transfer learning for large-scale image classification using annealing-based quantum boltzmann machines D Schuman, L Sünkel, P Altmann, J Stein, C Roch, T Gabor, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 3 | 2023 |
Hybrid quantum machine learning assisted classification of COVID-19 from computed tomography scans L Sünkel, D Martyniuk, JJ Reichwald, A Morariu, RH Seggoju, P Altmann, ... 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 3 | 2023 |
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training P Altmann, L Sünkel, J Stein, T Müller, C Roch, C Linnhoff-Popien Proceedings of the 15th International Conference on Agents and Artificial …, 2023 | 3 | 2023 |
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 | 2 | 2024 |
Challenges for Reinforcement Learning in Quantum Circuit Design P Altmann, A Bärligea, J Stein, M Kölle, T Gabor, T Phan, ... arXiv preprint arXiv:2312.11337, 2023 | 2* | 2023 |
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training P Altmann, T Phan, F Ritz, C Linnhoff-Popien, T Gabor Proc. of the Adaptive and Learning Agents Workshop (ALA 2023), 2023 | 2 | 2023 |
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines T Müller, C Roch, K Schmid, P Altmann arXiv preprint arXiv:2109.10900, 2021 | 2 | 2021 |
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning M Kölle, T Witter, T Rohe, G Stenzel, P Altmann, T Gabor arXiv preprint arXiv:2405.12354, 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 |
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization M Kölle, F Topp, T Phan, P Altmann, J Nüßlein, C Linnhoff-Popien arXiv preprint arXiv:2311.05546, 2023 | 1 | 2023 |
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing P Altmann, F Ritz, L Feuchtinger, J Nüßlein, C Linnhoff-Popien, T Phan Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 1 | 2023 |
Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem J Stein, J Jojo, A Farea, D Bucher, P Altmann, MS Çelebi, ... arXiv preprint arXiv:2305.08482, 2023 | 1 | 2023 |
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning T Phan, F Sommer, F Ritz, P Altmann, J Nüßlein, M Kölle, L Belzner, ... Autonomous Agents and Multi-Agent Systems 38 (2), 34, 2024 | | 2024 |
Self-Adaptive Robustness of Applied Neural-Network-Soups M Zorn, P Altmann, G Stenzel, M Kölle, C Linnhoff-Popien, T Gabor ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, 2024 | | 2024 |