:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Guanzhou, Wu, Jianping, He, Yujing
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2406.13223
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025)

MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
by: He, Baotian, et al.
Published: (2024)

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
by: Liu, Haochen, et al.
Published: (2025)

LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)

A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
by: Zhang, Yifan, et al.
Published: (2020)

Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2025)

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
by: Wu, Kangyu, et al.
Published: (2026)

Attention and Risk-Aware Decision Framework for Safe Autonomous Driving
by: Tian, Zhen, et al.
Published: (2025)

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator
by: Delavari, Elahe, et al.
Published: (2025)

Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
by: Demontis, Ambra, et al.
Published: (2022)

Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
by: Wang, Yuanda, et al.
Published: (2024)

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2025)

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving
by: Pang, Hao, et al.
Published: (2024)

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)

Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
by: Hu, Dong, et al.
Published: (2025)

Optimizing Low-Speed Autonomous Driving: A Reinforcement Learning Approach to Route Stability and Maximum Speed
by: Li, Benny Bao-Sheng, et al.
Published: (2024)

SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones via Reinforcement Learning
by: Yan, Zichen, et al.
Published: (2025)

A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
by: Li, Zhuoren, et al.
Published: (2025)

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model
by: Yao, Ruoyu, et al.
Published: (2024)

Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
by: Li, Yue, et al.
Published: (2025)

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
by: Gao, Yuan, et al.
Published: (2026)

VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
by: Qu, Yansong, et al.
Published: (2025)

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
by: Wasif, Dawood, et al.
Published: (2025)

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
by: Li, Qifeng, et al.
Published: (2024)

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
by: Zhou, Rongliang, et al.
Published: (2024)

When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
by: Yuan, Jessie, et al.
Published: (2026)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
by: Guo, Yihong, et al.
Published: (2026)

A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
by: Trauth, Rainer, et al.
Published: (2024)

Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous Driving
by: Jaisankar, Kanishkha, et al.
Published: (2025)

ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception
by: Lu, Siyi, et al.
Published: (2025)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement Learning
by: Li, Lin, et al.
Published: (2025)

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)

Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance
by: Haroon, Adam, et al.
Published: (2026)