| 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 | 5 | 2021 |
| Benchmarking surrogate-assisted genetic recommender systems T Gabor, P Altmann Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 4 | 2019 |
| Capturing dependencies within machine learning via a formal process model F Ritz, T Phan, A Sedlmeier, P Altmann, J Wieghardt, R Schmid, H Sauer, ... Leveraging Applications of Formal Methods, Verification and Validation …, 2022 | 3 | 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 | 2 | 2022 |
| Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines T Müller, C Roch, K Schmid, P Altmann arXiv preprint arXiv:2109.10900, 2021 | 1 | 2021 |
| 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, C Linnhoff-Popien arXiv preprint arXiv:2305.08482, 2023 | | 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 arXiv preprint arXiv:2304.13616, 2023 | | 2023 |
| Learning to Participate through Trading of Reward Shares M Kölle, T Matheis, P Altmann, K Schmid arXiv preprint arXiv:2301.07416, 2023 | | 2023 |
| DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training P Altmann, T Phan, F Ritz, T Gabor, C Linnhoff-Popien arXiv preprint arXiv:2301.07421, 2023 | | 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 | | 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, ... | | 2022 |
Thomy PhanLMU MunichBestätigte E-Mail-Adresse bei ifi.lmu.de
