Cover Image

Distributionally Robust PAC-Bayesian Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herceg, Domagoj, Antunes, Duarte
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tempering the Bayes Filter towards Improved Model-Based Estimation
by: van Zutphen, Menno, et al.
Published: (2025)

Beyond KL-divergence: Risk Aware Control Through Cross Entropy and Adversarial Entropy Regularization
by: van Zutphen, Menno, et al.
Published: (2025)

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

A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
by: Luo, Yujia, et al.
Published: (2026)

Active Bayesian Inference for Robust Control under Sensor False Data Injection Attacks
by: Andersson, Axel, et al.
Published: (2026)

Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
by: Gahlawat, Aditya, et al.
Published: (2025)

Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
by: Taha, Feras Al, et al.
Published: (2025)

Data-Driven Reachability Analysis via Diffusion Models with PAC Guarantees
by: Huang, Yanliang, et al.
Published: (2026)

Distribution-Free Confidence Ellipsoids for Ridge Regression with PAC Bounds
by: Szentpéteri, Szabolcs, et al.
Published: (2026)

Interactive Trajectory Planning with Learning-based Distributionally Robust Model Predictive Control and Markov Systems
by: Börve, Erik, et al.
Published: (2026)

On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)

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

Adversarially Robust Multitask Adaptive Control
by: Fallah, Kasra, et al.
Published: (2025)

Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
by: Choi, Jimin, et al.
Published: (2025)

Distributionally Robust Policy and Lyapunov-Certificate Learning
by: Long, Kehan, et al.
Published: (2024)

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

Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
by: Pantazis, Georgios, et al.
Published: (2025)

Certified Robust Invariant Polytope Training in Neural Controlled ODEs
by: Harapanahalli, Akash, et al.
Published: (2024)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
by: Hirt, Sebastian, et al.
Published: (2024)

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

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
by: Barbara, Nicholas H., et al.
Published: (2023)

Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach
by: Wang, Zifan, et al.
Published: (2025)

Differentiable Distributionally Robust Optimization Layers
by: Ma, Xutao, et al.
Published: (2024)

Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
by: Chakrabarti, Kushal, et al.
Published: (2021)

Graph Neural Network-Based Distributed Optimal Control for Linear Networked Systems: An Online Distributed Training Approach
by: Song, Zihao, et al.
Published: (2025)

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control
by: Quick, Julian, et al.
Published: (2026)

Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
by: de Jong, Thomas, et al.
Published: (2024)

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
by: Enders, Tobias, et al.
Published: (2024)

Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings
by: Schön, Oliver, et al.
Published: (2024)

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)

Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet
by: Liu, Wenliang, et al.
Published: (2025)

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
by: Lindemann, Lars, et al.
Published: (2021)

Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
by: Li, Yutong, et al.
Published: (2025)

Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
by: Zakwan, Muhammad, et al.
Published: (2024)

Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
by: Watson, Joe, et al.
Published: (2021)

Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
by: Sung, Minjun, et al.
Published: (2024)

Convolutional Bayesian Filtering
by: Cao, Wenhan, et al.
Published: (2024)

Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
by: Marquis, Dennis, et al.
Published: (2026)

Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking
by: Saxena, Shaifalee, et al.
Published: (2025)

PAC-Bayesian Optimal Control with Stability and Generalization Guarantees
by: Boroujeni, Mahrokh Ghoddousi, et al.
Published: (2025)