:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lübsen, Jannis O., Hespe, Christian, Eichler, Annika
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2312.07281
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
by: Lübsen, Jannis, et al.
Published: (2026)

An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
by: Luebsen, Jannis O., et al.
Published: (2025)

Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
by: Lübsen, Jannis, et al.
Published: (2026)

A Scalable Approach for Analysing Multi-Agent Systems with Heterogeneous Stochastic Packet Loss
by: Hespe, Christian, et al.
Published: (2023)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)

Safe Gradient Flow for Bilevel Optimization
by: Sharifi, Sina, et al.
Published: (2025)

Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
by: Zhu, Feng, et al.
Published: (2024)

Safe Bayesian optimization across noise models via scenario programming
by: Tokmak, Abdullah, et al.
Published: (2025)

Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
by: Shahrooei, Zahra, et al.
Published: (2024)

Towards safe Bayesian optimization with Wiener kernel regression
by: Molodchyk, Oleksii, et al.
Published: (2024)

Robust Stability for Multiagent Systems with Spatio-Temporally Correlated Packet Loss
by: Hespe, Christian, et al.
Published: (2024)

OPBO: Order-Preserving Bayesian Optimization
by: Peng, Wei, et al.
Published: (2025)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
by: Yan, Runze, et al.
Published: (2025)

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
by: Wang, Zhuoyuan, et al.
Published: (2024)

Optimizing Operation Recipes with Reinforcement Learning for Safe and Interpretable Control of Chemical Processes
by: Brandner, Dean, et al.
Published: (2025)

Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium
by: Li, Zeyang, et al.
Published: (2024)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
by: Hirt, Sebastian, et al.
Published: (2024)

Falsification of Cyber-Physical Systems using Bayesian Optimization
by: Ramezani, Zahra, et al.
Published: (2022)

Local Bayesian Optimization for Controller Tuning with Crash Constraints
by: von Rohr, Alexander, et al.
Published: (2024)

Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
by: Zhang, Songyuan, et al.
Published: (2025)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Stability-informed Bayesian Optimization for MPC Cost Function Learning
by: Hirt, Sebastian, et al.
Published: (2024)

Neural Operators for Multi-Task Control and Adaptation
by: Sewell, David, et al.
Published: (2026)

LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy
by: Yang, Hsin-Jung, et al.
Published: (2026)

Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast
by: Kristjansen, Martin, et al.
Published: (2026)

Safety in safe Bayesian optimization and its ramifications for control
by: Fiedler, Christian, et al.
Published: (2025)

Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
by: Leeftink, David, et al.
Published: (2025)

On Stability in Optimistic Bilevel Optimization
by: Royset, Johannes O.
Published: (2024)

Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
by: Za'ter, Muhy Eddin, et al.
Published: (2025)

Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
by: Dai, Xiaobing, et al.
Published: (2024)

Safe exploration in reproducing kernel Hilbert spaces
by: Tokmak, Abdullah, et al.
Published: (2025)

Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization
by: Pi, Jianzong, et al.
Published: (2024)

Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization
by: Vlaswinkel, Maarten, et al.
Published: (2025)

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
by: Brenner, Aron, et al.
Published: (2024)

Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning
by: Hu, Hanjiang, et al.
Published: (2025)