:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Yadav, E Harshith Kumar, Narava, Rahul, Anshika, Jha, Shashi Shekher
Formato:	Preprint
Publicado:	2025
Materias:	Systems and Control Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2503.11696
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
por: Narava, Rahul, et al.
Publicado: (2026)

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
por: Durkin, Alex, et al.
Publicado: (2025)

SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning
por: Yao, Jianpeng, et al.
Publicado: (2024)

Safe Control and Learning Using Generalized Action Governor
por: Fang, Peiyuan, et al.
Publicado: (2022)

Learning to Drive Safely with Hybrid Options
por: De Cooman, Bram, et al.
Publicado: (2025)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
por: Wang, Xuefeng, et al.
Publicado: (2024)

Provably Safe Generative Sampling with Constricting Barrier Functions
por: Gadginmath, Darshan, et al.
Publicado: (2026)

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

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
por: Zhang, Jiawei, et al.
Publicado: (2025)

Approximate Model-Based Shielding for Safe Reinforcement Learning
por: Goodall, Alexander W., et al.
Publicado: (2023)

Constrained Reinforcement Learning for Safe Heat Pump Control
por: Zhang, Baohe, et al.
Publicado: (2024)

SoK: Trusted Execution in SoC-FPGAs
por: Perkins, Garrett, et al.
Publicado: (2025)

Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
por: Luque-Cerpa, Alejandro, et al.
Publicado: (2026)

Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
por: Zhang, Harry
Publicado: (2024)

Guided Safe Shooting: model based reinforcement learning with safety constraints
por: Paolo, Giuseppe, et al.
Publicado: (2022)

Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
por: Pandit, Kartik, et al.
Publicado: (2025)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
por: Khan, Abdullah, et al.
Publicado: (2024)

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
por: Ding, Jianglin, et al.
Publicado: (2025)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
por: Zhou, Zhehua, et al.
Publicado: (2024)

Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
por: Theile, Mirco, et al.
Publicado: (2024)

Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
por: Shirai, Yuki, et al.
Publicado: (2025)

HuB: Learning Extreme Humanoid Balance
por: Zhang, Tong, et al.
Publicado: (2025)

To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing
por: Boscaro, Maddalena, et al.
Publicado: (2024)

Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
por: Spoor, Lindsay, et al.
Publicado: (2025)

Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
por: Maus, Tom, et al.
Publicado: (2025)

Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
por: de Jong, Matthijs, et al.
Publicado: (2024)

Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
por: Liu, Yushen, et al.
Publicado: (2026)

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
por: Saha, Dipayan, et al.
Publicado: (2025)

An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
por: Bajcsy, Andrea, et al.
Publicado: (2019)

Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
por: Bezold, Vincent, et al.
Publicado: (2025)

Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
por: Shaham, Michael H., et al.
Publicado: (2024)

From Prompt to Protocol: Fast Charging Batteries with Large Language Models
por: Lei, Ge, et al.
Publicado: (2026)

A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
por: Alcibar, Jokin, et al.
Publicado: (2024)

Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting
por: Sage, Manuel, et al.
Publicado: (2024)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
por: Zarrouki, Baha, et al.
Publicado: (2024)

Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
por: Honari, Homayoun, et al.
Publicado: (2024)

A Comparison of Baseline Models and a Transformer Network for SOC Prediction in Lithium-Ion Batteries
por: Aboueidah, Hadeel, et al.
Publicado: (2024)

Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making
por: Paneru, Biplov, et al.
Publicado: (2024)

Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low
por: Ullner, Lennart, et al.
Publicado: (2025)

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning
por: Zhang, Zongyuan, et al.
Publicado: (2025)