VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change
Fuente:
arXiv
Saved in:
| Main Authors: | Lutz, Sterre, Spaan, Matthijs T. J., Lukina, Anna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Continuous-Time Supermartingale Certificates
by: Neustroev, Grigory, et al.
Published: (2024)
by: Neustroev, Grigory, et al.
Published: (2024)
Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
by: Kranzlmüller, Miriam, et al.
Published: (2026)
by: Kranzlmüller, Miriam, et al.
Published: (2026)
Safety Certification is Classification
by: Schön, Oliver, et al.
Published: (2026)
by: Schön, Oliver, et al.
Published: (2026)
A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics
by: Damare, Amol, et al.
Published: (2022)
by: Damare, Amol, et al.
Published: (2022)
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)
by: Mei, Wenjie, et al.
Published: (2024)
Synthesis of Dynamic Masks for Information-Theoretic Opacity in Stochastic Systems
by: Udupa, Sumukha, et al.
Published: (2025)
by: Udupa, Sumukha, et al.
Published: (2025)
Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
by: Chen, Yan, et al.
Published: (2024)
by: Chen, Yan, et al.
Published: (2024)
Enhancing AI System Resiliency: Formulation and Guarantee for LSTM Resilience Based on Control Theory
by: Yoshihara, Sota, et al.
Published: (2025)
by: Yoshihara, Sota, et al.
Published: (2025)
Data-driven Acceleration of MPC with Guarantees
by: Castellano, Agustin, et al.
Published: (2025)
by: Castellano, Agustin, et al.
Published: (2025)
Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)
by: Schön, Oliver, et al.
Published: (2025)
by: Schön, Oliver, et al.
Published: (2025)
Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
by: Wu, Jingyi, et al.
Published: (2025)
by: Wu, Jingyi, et al.
Published: (2025)
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024)
by: de Jong, Matthijs, et al.
Published: (2024)
Predictive Monitoring of Black-Box Dynamical Systems
by: Henzinger, Thomas A., et al.
Published: (2024)
by: Henzinger, Thomas A., et al.
Published: (2024)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
by: Mandal, Udayan, et al.
Published: (2024)
by: Mandal, Udayan, et al.
Published: (2024)
Dispatch-Aware Deep Neural Network for Optimal Transmission Switching: Toward Real-Time and Feasibility Guaranteed Operation
by: Kim, Minsoo, et al.
Published: (2025)
by: Kim, Minsoo, et al.
Published: (2025)
Diffusion Model-based Parameter Estimation in Dynamic Power Systems
by: Zhu, Feiqin, et al.
Published: (2024)
by: Zhu, Feiqin, et al.
Published: (2024)
Model Predictive Control of Hybrid Dynamical Systems
by: Sanfelice, Ricardo G., et al.
Published: (2026)
by: Sanfelice, Ricardo G., et al.
Published: (2026)
k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics
by: Wooding, Ben, et al.
Published: (2026)
by: Wooding, Ben, et al.
Published: (2026)
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression
by: Skovbekk, John, et al.
Published: (2021)
by: Skovbekk, John, et al.
Published: (2021)
BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
by: Taheri, Ali, et al.
Published: (2025)
by: Taheri, Ali, et al.
Published: (2025)
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
by: Liao, Xishun, et al.
Published: (2022)
by: Liao, Xishun, et al.
Published: (2022)
Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
$k$-Inductive and Interpolation-Inspired Barrier Certificates for Stochastic Dynamical Systems
by: Oumer, Mohammed Adib, et al.
Published: (2025)
by: Oumer, Mohammed Adib, et al.
Published: (2025)
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
by: Kara, Ali Devran, et al.
Published: (2023)
by: Kara, Ali Devran, et al.
Published: (2023)
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)
by: Bai, Ningwei, et al.
Published: (2025)
Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
by: Wang, Chengxiao, et al.
Published: (2026)
by: Wang, Chengxiao, et al.
Published: (2026)
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
by: Ibrahim, Sinan, et al.
Published: (2026)
by: Ibrahim, Sinan, et al.
Published: (2026)
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
by: Pavirani, Fabio, et al.
Published: (2026)
by: Pavirani, Fabio, et al.
Published: (2026)
Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)
by: Chen, Shaoru, et al.
Published: (2024)
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
by: Malaniya, Georgiy, et al.
Published: (2025)
by: Malaniya, Georgiy, et al.
Published: (2025)
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents
by: Killer, Matthias, et al.
Published: (2023)
by: Killer, Matthias, et al.
Published: (2023)
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems
by: Bensalem, Saddek, et al.
Published: (2023)
by: Bensalem, Saddek, et al.
Published: (2023)
Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning
by: Jiang, Yingzhuo, et al.
Published: (2025)
by: Jiang, Yingzhuo, et al.
Published: (2025)
Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
by: Lin, Xiaoshan, et al.
Published: (2024)
by: Lin, Xiaoshan, et al.
Published: (2024)
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024)
by: Kwon, Jeongyeol, et al.
Published: (2024)
Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
by: Omidi, Saber, et al.
Published: (2025)
by: Omidi, Saber, et al.
Published: (2025)
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
HyRRT-Connect: Bidirectional Motion Planning for Hybrid Dynamical Systems
by: Wang, Nan, et al.
Published: (2025)
by: Wang, Nan, et al.
Published: (2025)
Adapting Probabilistic Risk Assessment for AI
by: Wisakanto, Anna Katariina, et al.
Published: (2025)
by: Wisakanto, Anna Katariina, et al.
Published: (2025)
The FABRIC Strategy for Verifying Neural Feedback Systems
by: Akinwande, Samuel I., et al.
Published: (2026)
by: Akinwande, Samuel I., et al.
Published: (2026)
Similar Items
-
Neural Continuous-Time Supermartingale Certificates
by: Neustroev, Grigory, et al.
Published: (2024) -
Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems
by: Kranzlmüller, Miriam, et al.
Published: (2026) -
Safety Certification is Classification
by: Schön, Oliver, et al.
Published: (2026) -
A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics
by: Damare, Amol, et al.
Published: (2022) -
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)