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ORCIDPhilipp Altmann
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2020 – today
- 2024
[j1]Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38(2): 34 (2024)- [c21]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS 2024: 2123-2125 - [c20]Maximilian Zorn
, Sarah Gerner, Philipp Altmann, Thomas Gabor:
Final Productive Fitness for Surrogates in Evolutionary Algorithms. GECCO Companion 2024: 583-586 - [c19]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. ICAART (1) 2024: 71-82 - [c18]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. ICAART (1) 2024: 83-94 - [c17]Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien:
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. ICAART (2) 2024: 99-109 - [c16]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
Quantum Advantage Actor-Critic for Reinforcement Learning. ICAART (1) 2024: 297-304 - [c15]Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien:
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data. ICAART (3) 2024: 352-359 - [c14]Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. ICAART (3) 2024: 649-656 - [c13]Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor:
Quantum Federated Learning for Image Classification. ICAART (3) 2024: 936-942 - [c12]Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor:
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. QSW 2024: 157-167 - [i24]Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
Quantum Advantage Actor-Critic for Reinforcement Learning. CoRR abs/2401.07043 (2024) - [i23]Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien:
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis. CoRR abs/2401.07054 (2024) - [i22]Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor:
REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning. CoRR abs/2404.03359 (2024) - [i21]Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien:
MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. CoRR abs/2404.03431 (2024) - [i20]Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor:
Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting. CoRR abs/2404.09213 (2024) - [i19]Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor:
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning. CoRR abs/2405.12354 (2024) - [i18]Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization. CoRR abs/2407.20739 (2024) - [i17]Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor:
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning. CoRR abs/2408.01187 (2024) - [i16]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-Agent Systems: A Safety Perspective. CoRR abs/2408.04514 (2024) - [i15]Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien:
Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers. CoRR abs/2408.04751 (2024) - 2023
- [c11]Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid:
Learning to Participate Through Trading of Reward Shares. ICAART (1) 2023: 355-362 - [c10]Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien:
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. ICAART (3) 2023: 744-751 - [c9]Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien:
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability. ICML 2023: 27840-27853 - [c8]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. IJCAI 2023: 3414-3422 - [c7]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. QCE 2023: 42-47 - [c6]Leo Sünkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke:
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. QCE 2023: 356-366 - [i14]Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien:
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training. CoRR abs/2301.02601 (2023) - [i13]Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid:
Learning to Participate through Trading of Reward Shares. CoRR abs/2301.07416 (2023) - [i12]Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien:
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training. CoRR abs/2301.07421 (2023) - [i11]Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan:
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing. CoRR abs/2304.13616 (2023) - [i10]Jonas Stein, Jezer Jojo, Afrah Farea, David Bucher, Philipp Altmann, Claudia Linnhoff-Popien:
Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem. CoRR abs/2305.08482 (2023) - [i9]Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien:
Quantum Surrogate Modeling for Chemical and Pharmaceutical Development. CoRR abs/2306.05042 (2023) - [i8]Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien:
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization. CoRR abs/2311.05546 (2023) - [i7]Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien:
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. CoRR abs/2311.05559 (2023) - [i6]Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien:
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines. CoRR abs/2311.15966 (2023) - [i5]Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien:
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly. CoRR abs/2312.05552 (2023) - [i4]Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien:
Challenges for Reinforcement Learning in Quantum Computing. CoRR abs/2312.11337 (2023) - 2022
- [c5]Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien:
Emergent Cooperation from Mutual Acknowledgment Exchange. AAMAS 2022: 1047-1055 - [c4]Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann:
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines. ICAART (1) 2022: 121-130 - [c3]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies Within Machine Learning via a Formal Process Model. ISoLA (3) 2022: 249-265 - [i3]Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies within Machine Learning via a Formal Process Model. CoRR abs/2208.05219 (2022) - 2021
- [c2]Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien:
VAST: Value Function Factorization with Variable Agent Sub-Teams. NeurIPS 2021: 24018-24032 - [i2]Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann:
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines. CoRR abs/2109.10900 (2021)
2010 – 2019
- 2019
- [c1]Thomas Gabor, Philipp Altmann:
Benchmarking surrogate-assisted genetic recommender systems. GECCO (Companion) 2019: 1568-1575 - [i1]Thomas Gabor, Philipp Altmann:
Benchmarking Surrogate-Assisted Genetic Recommender Systems. CoRR abs/1908.02880 (2019)
Coauthor Index
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