Guardado en:
| Autores principales: | De Cooman, Bram, Suykens, Johan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.24674 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
por: De Cooman, Bram, et al.
Publicado: (2024)
por: De Cooman, Bram, et al.
Publicado: (2024)
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
por: Zhang, Jiawei, et al.
Publicado: (2025)
por: Zhang, Jiawei, et al.
Publicado: (2025)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
por: Wang, Xuefeng, et al.
Publicado: (2024)
por: Wang, Xuefeng, et al.
Publicado: (2024)
Approximate Model-Based Shielding for Safe Reinforcement Learning
por: Goodall, Alexander W., et al.
Publicado: (2023)
por: Goodall, Alexander W., et al.
Publicado: (2023)
Constrained Reinforcement Learning for Safe Heat Pump Control
por: Zhang, Baohe, et al.
Publicado: (2024)
por: Zhang, Baohe, et al.
Publicado: (2024)
SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
por: Wu, Kangyu, et al.
Publicado: (2026)
por: Wu, Kangyu, et al.
Publicado: (2026)
Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
por: Luque-Cerpa, Alejandro, et al.
Publicado: (2026)
por: Luque-Cerpa, Alejandro, et al.
Publicado: (2026)
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions
por: Zhang, Harry
Publicado: (2024)
por: Zhang, Harry
Publicado: (2024)
Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
por: Durkin, Alex, et al.
Publicado: (2025)
por: Durkin, Alex, 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)
por: Zhou, Zhehua, et al.
Publicado: (2024)
Provably Safe Generative Sampling with Constricting Barrier Functions
por: Gadginmath, Darshan, et al.
Publicado: (2026)
por: Gadginmath, Darshan, et al.
Publicado: (2026)
Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
por: Spoor, Lindsay, et al.
Publicado: (2025)
por: Spoor, Lindsay, et al.
Publicado: (2025)
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
por: Sharifi, Iman, et al.
Publicado: (2023)
por: Sharifi, Iman, et al.
Publicado: (2023)
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)
por: Bezold, Vincent, et al.
Publicado: (2025)
Balancing SoC in Battery Cells using Safe Action Perturbations
por: Yadav, E Harshith Kumar, et al.
Publicado: (2025)
por: Yadav, E Harshith Kumar, et al.
Publicado: (2025)
Guided Safe Shooting: model based reinforcement learning with safety constraints
por: Paolo, Giuseppe, et al.
Publicado: (2022)
por: Paolo, Giuseppe, et al.
Publicado: (2022)
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)
por: Esfahani, Hossein Nejatbakhsh, et al.
Publicado: (2025)
Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
por: Zhang, Zhihao, et al.
Publicado: (2025)
por: Zhang, Zhihao, et al.
Publicado: (2025)
Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
por: Pandit, Kartik, et al.
Publicado: (2025)
por: Pandit, Kartik, 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)
por: Shaham, Michael H., et al.
Publicado: (2024)
From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
por: Guillen-Perez, Antonio
Publicado: (2025)
por: Guillen-Perez, Antonio
Publicado: (2025)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
por: Zarrouki, Baha, et al.
Publicado: (2024)
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)
por: Honari, Homayoun, et al.
Publicado: (2024)
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
por: Wang, Yixuan, et al.
Publicado: (2023)
por: Wang, Yixuan, et al.
Publicado: (2023)
Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
por: Chen, Dianwei, et al.
Publicado: (2024)
por: Chen, Dianwei, et al.
Publicado: (2024)
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning
por: Doroudian, Erfan, et al.
Publicado: (2024)
por: Doroudian, Erfan, et al.
Publicado: (2024)
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
por: da Silva, Caio Fabio Oliveira, et al.
Publicado: (2024)
por: da Silva, Caio Fabio Oliveira, et al.
Publicado: (2024)
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
por: Lin, Zhihao, et al.
Publicado: (2024)
por: Lin, Zhihao, et al.
Publicado: (2024)
Learn2Drive: A neural network-based framework for socially compliant automated vehicle control
por: Liu, Yuhui, et al.
Publicado: (2025)
por: Liu, Yuhui, et al.
Publicado: (2025)
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
por: Bajcsy, Andrea, et al.
Publicado: (2019)
por: Bajcsy, Andrea, et al.
Publicado: (2019)
Building Hybrid B-Spline And Neural Network Operators
por: Romagnoli, Raffaele, et al.
Publicado: (2024)
por: Romagnoli, Raffaele, et al.
Publicado: (2024)
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
por: Yan, Zijiang, et al.
Publicado: (2024)
por: Yan, Zijiang, et al.
Publicado: (2024)
Control-ITRA: Controlling the Behavior of a Driving Model
por: Lioutas, Vasileios, et al.
Publicado: (2025)
por: Lioutas, Vasileios, et al.
Publicado: (2025)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
por: Covone, Stefano, et al.
Publicado: (2025)
por: Covone, Stefano, et al.
Publicado: (2025)
A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics
por: Damare, Amol, et al.
Publicado: (2022)
por: Damare, Amol, et al.
Publicado: (2022)
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
por: Alcibar, Jokin, et al.
Publicado: (2024)
por: Alcibar, Jokin, et al.
Publicado: (2024)
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
por: Chirukiri, Varun Teja, et al.
Publicado: (2025)
por: Chirukiri, Varun Teja, et al.
Publicado: (2025)
Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction
por: Khan, Saddam Hussain
Publicado: (2025)
por: Khan, Saddam Hussain
Publicado: (2025)
Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model
por: Suri, Dhruv, et al.
Publicado: (2024)
por: Suri, Dhruv, et al.
Publicado: (2024)
Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
Ejemplares similares
-
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints
por: De Cooman, Bram, et al.
Publicado: (2024) -
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
por: Zhang, Jiawei, et al.
Publicado: (2025) -
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
por: Wang, Xuefeng, et al.
Publicado: (2024) -
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)