Buchumschlag

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wu, Kangyu, Cui, Peng, Chen, Guoxi, Zhang, Ya
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Robotics Artificial Intelligence Machine Learning Systems and Control
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
von: Zhang, Zhihao, et al.
Veröffentlicht: (2025)

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
von: Chen, Dianwei, et al.
Veröffentlicht: (2024)

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning
von: Doroudian, Erfan, et al.
Veröffentlicht: (2024)

Predictive Safety Shield for Dyna-Q Reinforcement Learning
von: Pin, Jin, et al.
Veröffentlicht: (2025)

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

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
von: Guillen-Perez, Antonio
Veröffentlicht: (2025)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
von: Honari, Homayoun, et al.
Veröffentlicht: (2024)

Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
von: Tayar, Marco S., et al.
Veröffentlicht: (2025)

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
von: Yang, Lizhi, et al.
Veröffentlicht: (2025)

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

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

A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
von: Lin, Zhihao, et al.
Veröffentlicht: (2024)

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
von: Tabbara, Ihab, et al.
Veröffentlicht: (2025)

Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
von: Sharifi, Iman, et al.
Veröffentlicht: (2023)

Constrained Control for Autonomous Spacecraft Rendezvous: Learning-Based Time Shift Governor
von: Kim, Taehyeun, et al.
Veröffentlicht: (2024)

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
von: Golchoubian, Mahsa, et al.
Veröffentlicht: (2024)

Dynamic Lookahead Distance via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing
von: Elgouhary, Mohamed, et al.
Veröffentlicht: (2026)

Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving
von: Weng, Qitao, et al.
Veröffentlicht: (2026)

Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
von: Delecki, Harrison, et al.
Veröffentlicht: (2024)

DualShield: Safe Model Predictive Diffusion via Reachability Analysis for Interactive Autonomous Driving
von: Yang, Rui, et al.
Veröffentlicht: (2026)

Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
von: Li, Xiao, et al.
Veröffentlicht: (2024)

Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
von: Sonmez, Yasin, et al.
Veröffentlicht: (2024)

A Survey on Large Language Model-empowered Autonomous Driving
von: Zhu, Yuxuan, et al.
Veröffentlicht: (2024)

Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
von: Rahmani, Saeed, et al.
Veröffentlicht: (2026)

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
von: Zongo, Alex, et al.
Veröffentlicht: (2026)

One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
von: Lin, Albert, et al.
Veröffentlicht: (2024)

Control-Optimized Deep Reinforcement Learning for Artificially Intelligent Autonomous Systems
von: Fivel, Oren, et al.
Veröffentlicht: (2025)

Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
von: Chung, Jaehoon, et al.
Veröffentlicht: (2023)

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

cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
von: Yang, Tao, et al.
Veröffentlicht: (2024)

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
von: Gu, Xinyang, et al.
Veröffentlicht: (2024)

Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey
von: Zhong, Juan, et al.
Veröffentlicht: (2023)

Probabilistic Constrained Reinforcement Learning with Formal Interpretability
von: Wang, Yanran, et al.
Veröffentlicht: (2023)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
von: Guerrier, Maeva, et al.
Veröffentlicht: (2024)

Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control
von: Yu, Peng, et al.
Veröffentlicht: (2026)

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
von: Yoo, Se-Wook, et al.
Veröffentlicht: (2025)

Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
von: Arango, Camilo Gonzalez, et al.
Veröffentlicht: (2025)

Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO
von: Elgouhary, Mohamed, et al.
Veröffentlicht: (2026)

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

Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
von: Lee, Joonho, et al.
Veröffentlicht: (2019)