Philipp Altmann

According to our database, Philipp Altmann authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning.

Thomy Phan, Felix Sommer, Fabian Ritz, Philipp Altmann, Jonas Nüßlein, Michael Kölle, Lenz Belzner, Claudia Linnhoff-Popien

Auton. Agents Multi Agent Syst., December, 2024

Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers.

Navid Roshani, Jonas Stein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, 2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning.

Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor

CoRR, 2024

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization.

Michael Kölle, Karola Schneider, Sabrina Egger, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien

CoRR, 2024

Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting.

Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor

CoRR, 2024

MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange.

Philipp Altmann, Katharina Winter, Michael Kölle, Maximilian Zorn, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2024

REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning.

Philipp Altmann, Céline Davignon, Maximilian Zorn, Fabian Ritz, Claudia Linnhoff-Popien, Thomas Gabor

CoRR, 2024

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.

Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor

Proceedings of the IEEE International Conference on Quantum Software, 2024

Emergence in Multi-agent Systems: A Safety Perspective.

Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Rigorous Engineering of Collective Adaptive Systems, 2024

Quantum Federated Learning for Image Classification.

Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.

Michael Kölle, Felix Topp, Thomy Phan, Philipp Altmann, Jonas Nüßlein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.

Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.

Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

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

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.

Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.

Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Final Productive Fitness for Surrogates in Evolutionary Algorithms.

Maximilian Zorn, Sarah Gerner, Philipp Altmann, Thomas Gabor

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Quantum Circuit Design: A Reinforcement Learning Challenge.

Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Challenges for Reinforcement Learning in Quantum Computing.

Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien

CoRR, 2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

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

CoRR, 2023

Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem.

Jonas Stein, Jezer Jojo, Afrah Farea, David Bucher, Philipp Altmann, Claudia Linnhoff-Popien

CoRR, 2023

DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training.

Philipp Altmann, Thomy Phan, Fabian Ritz, Thomas Gabor, Claudia Linnhoff-Popien

CoRR, 2023

Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans.

Leo Sünkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines.

Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing.

Philipp Altmann, Fabian Ritz, Leonard Feuchtinger, Jonas Nüßlein, Claudia Linnhoff-Popien, Thomy Phan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability.

Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the International Conference on Machine Learning, 2023

Learning to Participate Through Trading of Reward Shares.

Michael Kölle, Tim Matheis, Philipp Altmann, Kyrill Schmid

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training.

Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022

Capturing Dependencies Within Machine Learning via a Formal Process Model.

Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines.

Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Emergent Cooperation from Mutual Acknowledgment Exchange.

Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner, Claudia Linnhoff-Popien

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

VAST: Value Function Factorization with Variable Agent Sub-Teams.

Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Benchmarking surrogate-assisted genetic recommender systems.

Thomas Gabor, Philipp Altmann

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019