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Papers matching “safety learning” 44

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Individual dopaminergic neurons induce unique, yet overlapping combinations of behavioural modulations including safety learning, memory retrieval and acute locomotion
2025 eLife preprint Neuroscience Neurobiology and Insect Physiology Research Open access

Naoko Toshima, Arman Behrad, Franziska Behnke, Gauri Kaushik, Aliće Weiglein, Martin Strauch, +4 more

2

citations
Individual dopaminergic neurons induce unique, yet overlapping combinations of behavioural modulations, including safety learning, memory retrieval, and acute locomotion
2025 eLife preprint Neuroscience Neurobiology and Insect Physiology Research Open access

Naoko Toshima, Arman Behrad, Franziska Behnke, Gauri Kaushik, Aliće Weiglein, Martin Strauch, +6 more

0

citations
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
2026 arXiv (Cornell University) preprint Medicine Respiratory Support and Mechanisms Open access

Hang Yu, Huidong Liu, Qingchen Zhang, William Joy, Kateryna Nikulina, Andreas Schuppert, +2 more

0

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
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
Different brain systems support the aversive and appetitive sides of human pain-avoidance learning
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access

Marieke Jepma, Mathieu Roy, Kiran Ramlakhan, Monique van Velzen, Albert Dahan

2

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
Safety in safe Bayesian optimization and its ramifications for control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Sebastian Trimpe

0

citations
Safe Reinforcement Learning for Real-World Engine Control
2024 arXiv (Cornell University) preprint Chemical Engineering Advanced Combustion Engine Technologies Open access

Julian Bedei, Alexander Winkler, Patrick Schaber, Jakob Andert

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
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
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon

0

citations
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
2021 arXiv (Cornell University) preprint Engineering Stability and Control of Uncertain Systems Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

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
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
Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jinghao Pang, Jitai Hao, Qiang Huang, Zhaochun Ren, Jun Yu

0

citations
An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
2020 arXiv (Cornell University) preprint Engineering Autonomous Vehicle Technology and Safety Open access

Christoph Henke, Frank Hees

0

citations
Histological triage of early-stage mycosis fungoides using a weakly supervised deep learning-based model: a multicentre, external validation, and clinical utility study
2026 medRxiv preprint Medicine Cutaneous lymphoproliferative disorders research Open access

Thom Doeleman, Siemen Brussee, P. Valkema, Werner Kempf, Maarten H. Vermeer, Jesper Kers, +13 more

0

citations