Jonas Nüßlein

Auton. Agents Multi Agent Syst., December, 2024

Optimizing Sensor Redundancy in Sequential Decision-Making Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Swarm Behavior Cloning.

[BibT_eX]

[DOI]

Maximilian Zorn

Philipp Altmann

CoRR, 2024

Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games.

[BibT_eX]

[DOI]

Kumar Jang Bahadur Ghosh

Corey O'Meara

Giorgio Cortiana

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Solving Max-3SAT Using QUBO Approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

SATQUBOLIB: A Python Framework for Creating and Benchmarking (Max-)3SAT QUBOs.

[BibT_eX]

[DOI]

Sebastian Zielinski

Magdalena Benkard

Proceedings of the Innovations for Community Services - 24th International Conference, 2024

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.

[BibT_eX]

[DOI]

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

Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.

[BibT_eX]

[DOI]

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

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

[BibT_eX]

[DOI]

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

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.

[BibT_eX]

[DOI]

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

2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.

[BibT_eX]

[DOI]

Maximilian Balthasar Mansky

CoRR, 2023

Sampling problems on a Quantum Computer.

[BibT_eX]

[DOI]

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

Mapping Quantum Circuits to Modular Architectures with QUBO.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization.

[BibT_eX]

[DOI]

Sebastian Zielinski

Proceedings of the Computational Science - ICCS 2023, 2023

Black Box Optimization Using QUBO and the Cross Entropy Method.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 2023

VoronoiPatches: Evaluating a New Data Augmentation Method.

[BibT_eX]

[DOI]

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

Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Black Box Optimization Using QUBO and the Cross Entropy Method.

[BibT_eX]

[DOI]

Christoph Roch

CoRR, 2022

Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles.

[BibT_eX]

[DOI]

CoRR, 2022

Case-Based Inverse Reinforcement Learning Using Temporal Coherence.

[BibT_eX]

[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2022

Algorithmic QUBO formulations for <i>k</i>-SAT and hamiltonian cycles.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2019

Most Frequent Itemset Optimization.

[BibT_eX]

[DOI]