From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “dynamic control” 43

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Carola Doerr, Thomas Bäck

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Paul Surrey, Julian D. Teske, Tobias Hangleiter, Hendrik Bluhm, Pascal Cerfontaine

0

citations
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Frederik Baymler Mathiesen, Luca Laurenti, Alessandro Abate

0

citations
An Architecture for Experiments in Networked Control Systems
2022 preprint Computer Science Distributed Control Multi-Agent Systems Open access

Maximilian Kloock, Patrick Scheffe, Ole Greß, Bassam Alrifaee

7

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

9

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2021 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

3

citations
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Emma Cramer, Artur Eisele, Paul Kruse, Lukas Kesper, Jonas Hertrampf, +6 more

0

citations
Receding Horizon Control Using Graph Search for Multi-Agent Trajectory Planning
2022 preprint Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe

0

citations
Dynamic Field of View Reduction Related to Subjective Sickness Measures in an HMD-based Data Analysis Task
2024 arXiv (Cornell University) preprint Computer Science Virtual Reality Applications and Impacts Open access

Daniel Zielasko, Alexander Meißner, Sebastian Freitag, Benjamin Weyers, Torsten Kuhlen

13

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Quadratic Sums-of-Powers for Fixed-Parameter Tractable Quantum-Circuit Simulation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alexis de Colnet, Floris Geerts, Rihan Hai, Alfons Laarman, Joon Hyung Lee, Guillermo A. Pérez

0

citations
On Foundation Models for Dynamical Systems from Purely Synthetic Data
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrés Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe

1

citations
Convolutional Neural Networks as 2-D systems
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer

3

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Embodiment of a functionally altered virtual arm in adults and children
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Virtual Reality Applications and Impacts Open access

Leif Johannsen, Simon Thurlbeck, Marco Fyfe Pietro Gillies, Xueni Pan, Dorothy A. Cowie

0

citations
Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
2026 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Stefan Lenz, Johannes Weidmann, Martin Henze

0

citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
Kinetic simulated annealing optimization with entropy-based cooling rate
2025 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Michaël Herty, Mattia Zanella

0

citations
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Dominik Baumann

0

citations
A Poisson Jump-driven SDE Approach to Distributed Gradient Descent with Sparse Communication
2025 arXiv (Cornell University) preprint Computer Science Distributed Control Multi-Agent Systems Open access

John Paul Strachan, Christian Ebenbauer

0

citations
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Haoran Yin, Anna V. Kononova, Thomas Bäck, Bas van Stein

0

citations