Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
Fuente:
arXiv
Saved in:
| Main Authors: | Luque-Cerpa, Alejandro, Wang, Mengyuan, Carlsson, Emil, Seshia, Sanjit A., Dubhashi, Devdatt, Torfah, Hazem |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Approximate and Exact Numeral Systems via Reinforcement Learning
by: Carlsson, Emil, et al.
Published: (2021)
by: Carlsson, Emil, et al.
Published: (2021)
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)
by: Joshi, Aniruddha, et al.
Published: (2025)
Metric-Guided Synthesis of Class Activation Mapping
by: Luque-Cerpa, Alejandro, et al.
Published: (2025)
by: Luque-Cerpa, Alejandro, et al.
Published: (2025)
ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
by: Mousist, Alejandro D.
Published: (2025)
by: Mousist, Alejandro D.
Published: (2025)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)
by: Wang, Xuefeng, et al.
Published: (2024)
Approximate Model-Based Shielding for Safe Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2023)
by: Goodall, Alexander W., et al.
Published: (2023)
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
by: Zhang, Harry
Published: (2024)
by: Zhang, Harry
Published: (2024)
Runtime-Certified Bounded-Error Quantized Attention
by: Calver, Dean
Published: (2026)
by: Calver, Dean
Published: (2026)
Active Preference Learning for Ordering Items In- and Out-of-sample
by: Bergström, Herman, et al.
Published: (2024)
by: Bergström, Herman, et al.
Published: (2024)
Learning to Drive Safely with Hybrid Options
by: De Cooman, Bram, et al.
Published: (2025)
by: De Cooman, Bram, et al.
Published: (2025)
Variational Quantum Optimization with Continuous Bandits
by: Wanner, Marc, et al.
Published: (2025)
by: Wanner, Marc, et al.
Published: (2025)
FTA generation using GenAI with an Autonomy sensor Usecase
by: Shetiya, Sneha Sudhir, et al.
Published: (2024)
by: Shetiya, Sneha Sudhir, et al.
Published: (2024)
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
by: Cho, Jung-Hoon, et al.
Published: (2023)
by: Cho, Jung-Hoon, et al.
Published: (2023)
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
by: Zhou, Zhehua, et al.
Published: (2024)
by: Zhou, Zhehua, et al.
Published: (2024)
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
by: Jayawardana, Vindula, et al.
Published: (2024)
by: Jayawardana, Vindula, et al.
Published: (2024)
Pure Exploration in Bandits with Linear Constraints
by: Carlsson, Emil, et al.
Published: (2023)
by: Carlsson, Emil, et al.
Published: (2023)
Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
by: Durkin, Alex, et al.
Published: (2025)
by: Durkin, Alex, et al.
Published: (2025)
AI-Enhanced Spatial Cellular Traffic Demand Prediction with Contextual Clustering and Error Correction for 5G/6G Planning
by: Alkadamani, Mohamad, et al.
Published: (2026)
by: Alkadamani, Mohamad, et al.
Published: (2026)
ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios
by: Chang, Kevin Kai-Chun, et al.
Published: (2026)
by: Chang, Kevin Kai-Chun, et al.
Published: (2026)
Cultural evolution via iterated learning and communication explains efficient color naming systems
by: Carlsson, Emil, et al.
Published: (2023)
by: Carlsson, Emil, et al.
Published: (2023)
From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy
by: Noorani, Erfaun, et al.
Published: (2025)
by: Noorani, Erfaun, et al.
Published: (2025)
Learning Symbolic Task Decompositions for Multi-Agent Teams
by: Shah, Ameesh, et al.
Published: (2025)
by: Shah, Ameesh, et al.
Published: (2025)
Provably Safe Generative Sampling with Constricting Barrier Functions
by: Gadginmath, Darshan, et al.
Published: (2026)
by: Gadginmath, Darshan, et al.
Published: (2026)
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
by: Asru, Avijit Saha, et al.
Published: (2025)
by: Asru, Avijit Saha, et al.
Published: (2025)
Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
by: Spoor, Lindsay, et al.
Published: (2025)
by: Spoor, Lindsay, et al.
Published: (2025)
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
by: Bajcsy, Andrea, et al.
Published: (2019)
by: Bajcsy, Andrea, et al.
Published: (2019)
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
by: Zhang, Jiawei, et al.
Published: (2025)
by: Zhang, Jiawei, et al.
Published: (2025)
Learning-Based Shielding for Safe Autonomy under Unknown Dynamics
by: Reed, Robert, et al.
Published: (2024)
by: Reed, Robert, et al.
Published: (2024)
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
by: Wu, Yuandi, et al.
Published: (2024)
by: Wu, Yuandi, et al.
Published: (2024)
Querying Labeled Time Series Data with Scenario Programs
by: Kim, Edward, et al.
Published: (2025)
by: Kim, Edward, et al.
Published: (2025)
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
by: Bezold, Vincent, et al.
Published: (2025)
by: Bezold, Vincent, 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)
by: Esfahani, Hossein Nejatbakhsh, et al.
Published: (2025)
Balancing SoC in Battery Cells using Safe Action Perturbations
by: Yadav, E Harshith Kumar, et al.
Published: (2025)
by: Yadav, E Harshith Kumar, et al.
Published: (2025)
Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)
by: Paolo, Giuseppe, et al.
Published: (2022)
Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
by: Pandit, Kartik, et al.
Published: (2025)
by: Pandit, Kartik, et al.
Published: (2025)
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
by: Shaham, Michael H., et al.
Published: (2024)
by: Shaham, Michael H., et al.
Published: (2024)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)
by: Zarrouki, Baha, et al.
Published: (2024)
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
by: Honari, Homayoun, et al.
Published: (2024)
by: Honari, Homayoun, et al.
Published: (2024)
MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation
by: Abbineni, Pravallika, et al.
Published: (2025)
by: Abbineni, Pravallika, et al.
Published: (2025)
Similar Items
-
Learning Approximate and Exact Numeral Systems via Reinforcement Learning
by: Carlsson, Emil, et al.
Published: (2021) -
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025) -
Metric-Guided Synthesis of Class Activation Mapping
by: Luque-Cerpa, Alejandro, et al.
Published: (2025) -
ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
by: Mousist, Alejandro D.
Published: (2025) -
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)