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Papers matching “safety learning” 73

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Cyber Crisis Averted: Using Safety Science Principles to Learn From Success
2025 Proceedings of the ... International ISCRAM Conference conference-paper Computer Science Information and Cyber Security Open access

Jeroen Wolbers, Tommy van Steen, Cristina Del‐Real, Bibi van den Berg

1

citations
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jianye Xu, Bassam Alrifaee

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
2025 Lecture notes in computer science conference-paper Computer Science Reinforcement Learning in Robotics Open access

Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe

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
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
GoSafe: Globally Optimal Safe Robot Learning
2021 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent

Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe

19

citations
Robust Shielding for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Edwin Hamel-De le Court, Thom Badings, Alessandro Abate, Francesco Belardinelli, Francesco Fabiano

0

citations
Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Lindsay Spoor, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland

0

citations
Model Predictive Control-based dynamic movement primitives for trajectory learning and obstacle avoidance
2025 Robotics and Autonomous Systems article Computer Science Robotic Path Planning Algorithms Open access

Burkhard J. Corves

4

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2026 IET conference proceedings. conference-paper Computer Science Augmented Reality Applications

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

2

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

0

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2025 European Control Conference (ECC) conference-paper Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
Safe Reinforcement Learning for Real-World Engine Control
2025 SSRN Electronic Journal preprint Computer Science Reinforcement Learning in Robotics Open access

Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert

2

citations
Applying federated learning to combat food fraud in food supply chains
2023 npj Science of Food article Computer Science Privacy-Preserving Technologies in Data Open access

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Joseph Martin, Rajaram Kaliyaperumal, Johan van Soest, +4 more

36

citations
An ensemble learning approach for modeling the systems biology of drug-induced injury
2021 Biology Direct article Computer Science Computational Drug Discovery Methods Open access

Joaquim Aguirre‐Plans, Janet Piñero, Terezinha Maria de Souza, Giulia Callegaro, Steven J. Kunnen, Ferrán Sanz, +4 more

17

citations
Federated learning from molecules to processes: A perspective
2026 Process Safety and Environmental Protection article Computer Science Privacy-Preserving Technologies in Data Open access

Jan G. Rittig, Clemens Kortmann

0

citations
Infinite State Model Checking by Learning Transitive Relations
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Florian Frohn, Jürgen Giesl

1

citations
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more

3

citations
A federated learning approach to data sharing in a food supply chain
2022 Research Square preprint Computer Science Privacy-Preserving Technologies in Data Open access

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Joseph Martin, Rajaram Kaliyaperumal, Johan van Soest, +4 more

5

citations