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Philipp Altmann
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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
162021
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
82022
Learning to participate through trading of reward shares
M Kölle, T Matheis, P Altmann, K Schmid
arXiv preprint arXiv:2301.07416, 2023
52023
Benchmarking surrogate-assisted genetic recommender systems
T Gabor, P Altmann
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
52019
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
42022
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
32023
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
32023
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
T Müller, C Roch, K Schmid, P Altmann
arXiv preprint arXiv:2109.10900, 2021
22021
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
12024
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
12023
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
12023
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
12023
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
12023
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning
P Altmann, C Davignon, M Zorn, F Ritz, C Linnhoff-Popien, T Gabor
arXiv preprint arXiv:2404.03359, 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
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
2024
Discriminative Reward Co-Training
P Altmann, F Ritz, M Zorn, M Kölle, T Phan, T Gabor, C Linnhoff-Popien
2023
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
J Stein, N Roshani, M Zorn, P Altmann, M Kölle, C Linnhoff-Popien
arXiv preprint arXiv:2312.05552, 2023
2023
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
2023
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
M Kölle, J Maurer, P Altmann, L Sünkel, J Stein, C Linnhoff-Popien
arXiv preprint arXiv:2311.05559, 2023
2023
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