:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Hang, Liu, Huidong, Zhang, Qingchen, Joy, William, Nikulina, Kateryna, Schuppert, Andreas A., Saffaran, Sina, Bates, Declan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.11372
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Digital Twins of Mechanically Ventilated Preterm Neonates with Respiratory Distress Syndrome
by: Saffaran, Sina, et al.
Published: (2025)

Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025)

GIS-gestützte Auswertung grossmassstäblicher historischer Karten als historisch-geographischer Beitrag zur archäologischen Forschung am Beispiel der frühkeltischen Fürstensitze in Südwestdeutschland
by: Christof Schuppert
Published: (2009)

The World of Rules
by: Schuppert, Gunnar Folke
Published: (2019)

A Global History of Ideas in the Language of Law
by: Schuppert, Gunnar Folke
Published: (2021)

Methodology for Interpretable Reinforcement Learning for Optimizing Mechanical Ventilation
by: Lee, Joo Seung, et al.
Published: (2024)

Features of the population structure of Fucus vesiculosus L. (Phaeophyceae) in different areas of the Murmansk coast of the Barents Sea, 2021
by: Malavenda, S. V., et al.
Published: (2023)

Smooth Kolmogorov Arnold networks enabling structural knowledge representation
by: Samadi, Moein E., et al.
Published: (2024)

Contract-based Verification of Digital Twins
by: Naeem, Muhammad, et al.
Published: (2025)

Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning
by: Menges, Daniel, et al.
Published: (2024)

Digital Twin‐Based Quality Control: Ensuring Precision in Precast Concrete Elements
by: Simon Kosse, et al.
Published: (2026)

Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check
by: Cao, Chentao, et al.
Published: (2025)

Digital Twin‐Enabled Deep Reinforcement Learning for Safety‐Guaranteed Flocking Motion of UAV Swarm
by: Zhilin Li, et al.
Published: (2024)

Theorem-Carrying Transactions: Runtime Verification to Ensure Interface Specifications for Smart Contract Safety
by: Ball, Thomas, et al.
Published: (2024)

Spatio‐Clock Synchronous Constraint Systems Specification and Verification to Ensure Autonomous Driving Safety
by: Jinyong Wang, et al.
Published: (2025)

AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
by: Lee, Ju-Hyung, et al.
Published: (2025)

Ensuring Safety in Target Pursuit Control: A CBF-Safe Reinforcement Learning Approach
by: Deng, Yaosheng, et al.
Published: (2024)

Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
by: Cho, Minjae, et al.
Published: (2024)

Advancing Safe Mechanical Ventilation Using Offline RL With Hybrid Actions and Clinically Aligned Rewards
by: Yousuf, Muhammad Hamza, et al.
Published: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)

Offline Reinforcement Learning with Behavioral Supervisor Tuning
by: Srinivasan, Padmanaba, et al.
Published: (2024)

Digital Twin Calibration with Model-Based Reinforcement Learning
by: Zheng, Hua, et al.
Published: (2025)

Continual Reinforcement Learning for Digital Twin Synchronization Optimization
by: Tong, Haonan, et al.
Published: (2025)

Sustainability of Data Center Digital Twins with Reinforcement Learning
by: Sarkar, Soumyendu, et al.
Published: (2024)

Automating Formal Verification with Reinforcement Learning and Recursive Inference
by: Tan, Max
Published: (2026)

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
by: Koirala, Prajwal, et al.
Published: (2024)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

Journal of Mechanical Ventilation
Published: (2023)

Automated Detection and Mitigation of Dependability Failures in Healthcare Scenarios through Digital Twins
by: Guindani, Bruno, et al.
Published: (2026)

Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)

TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation
by: Xu, Qinwen, et al.
Published: (2026)

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning
by: Zhang, Nan, et al.
Published: (2026)

Formal Verification of Digital Twins with TLA and Information Leakage Control
by: Huang, Luwen, et al.
Published: (2024)

Verification of Digital Twins using Classical and Statistical Model Checking
by: Gunasekaran, Raghavendran, et al.
Published: (2025)

Safety-Ensured Robotic Control Framework for Cutting Task Automation in Endoscopic Submucosal Dissection
by: Kim, Yitaek, et al.
Published: (2025)

Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
by: Parmar, Manojkumar, et al.
Published: (2025)

A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
by: Li, Chen, et al.
Published: (2025)

Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAs
by: Pandian, Shriram KS, et al.
Published: (2026)