From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zeqiao, Li, Yijing, Wang, Haoyu, Wang, Zheng, Li, Peng, Li, Wenfei, Liu, Zhiqiang, Zuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
by: Zeqiao, Li, et al.
Published: (2025)
by: Zeqiao, Li, et al.
Published: (2025)
Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching
by: Li, Zeqiao, et al.
Published: (2026)
by: Li, Zeqiao, et al.
Published: (2026)
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
Doe-1: Closed-Loop Autonomous Driving with Large World Model
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
Safe Reinforcement Learning for Real-World Engine Control
by: Bedei, Julian, et al.
Published: (2025)
by: Bedei, Julian, et al.
Published: (2025)
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
by: Wei, Qi, et al.
Published: (2026)
by: Wei, Qi, et al.
Published: (2026)
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning
by: Lu, Siyi, et al.
Published: (2024)
by: Lu, Siyi, et al.
Published: (2024)
Can BEV Perception Gracefully Degrade under Sensor Failures?
by: Zhang, Haifa, et al.
Published: (2026)
by: Zhang, Haifa, et al.
Published: (2026)
Cooperative Autonomous Driving in Diverse Behavioral Traffic: A Heterogeneous Graph Reinforcement Learning Approach
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
by: Xiao, Lingyu, et al.
Published: (2024)
by: Xiao, Lingyu, et al.
Published: (2024)
ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving
by: Zhao, Chang, et al.
Published: (2026)
by: Zhao, Chang, et al.
Published: (2026)
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
by: Li, Xidong, et al.
Published: (2026)
by: Li, Xidong, et al.
Published: (2026)
RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
by: Zuo, Jiacheng, et al.
Published: (2025)
by: Zuo, Jiacheng, et al.
Published: (2025)
Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving
by: Li, Jiazhuo, et al.
Published: (2026)
by: Li, Jiazhuo, et al.
Published: (2026)
From Observations to Events: Event-Aware World Model for Reinforcement Learning
by: Peng, Zhao-Han, et al.
Published: (2026)
by: Peng, Zhao-Han, et al.
Published: (2026)
Imitation Learning for Autonomous Driving: Insights from Real-World Testing
by: Dursun, Hidayet Ersin, et al.
Published: (2025)
by: Dursun, Hidayet Ersin, et al.
Published: (2025)
Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)
by: Huang, Zilin, et al.
Published: (2026)
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)
by: Tang, Zuojin, et al.
Published: (2024)
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving
by: Li, Dianzhao, et al.
Published: (2023)
by: Li, Dianzhao, et al.
Published: (2023)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, et al.
Published: (2024)
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
by: Liao, Haicheng, et al.
Published: (2024)
by: Liao, Haicheng, et al.
Published: (2024)
Ego-centric Learning of Communicative World Models for Autonomous Driving
by: Wang, Hang, et al.
Published: (2025)
by: Wang, Hang, et al.
Published: (2025)
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
by: Zhang, Jiawei, et al.
Published: (2025)
by: Zhang, Jiawei, et al.
Published: (2025)
BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
by: Liu, Shu, et al.
Published: (2025)
by: Liu, Shu, et al.
Published: (2025)
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
by: Stoler, Benjamin, et al.
Published: (2024)
by: Stoler, Benjamin, et al.
Published: (2024)
Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)
by: Li, Dianzhao, et al.
Published: (2025)
From Correction to Mastery: Reinforced Distillation of Large Language Model Agents
by: Lyu, Yuanjie, et al.
Published: (2025)
by: Lyu, Yuanjie, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty
by: Aryan, Prakash, et al.
Published: (2026)
by: Aryan, Prakash, et al.
Published: (2026)
Real-World Reinforcement Learning of Active Perception Behaviors
by: Hu, Edward S., et al.
Published: (2025)
by: Hu, Edward S., et al.
Published: (2025)
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)
by: Xu, Chengkai, et al.
Published: (2025)
Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)
by: Abouelazm, Ahmed, et al.
Published: (2026)
SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
by: Yang, Min, et al.
Published: (2026)
by: Yang, Min, et al.
Published: (2026)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)
by: Huang, Zilin, et al.
Published: (2026)
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)
by: Li, Yueyuan, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
by: Ji, Jiaming, et al.
Published: (2025)
by: Ji, Jiaming, et al.
Published: (2025)
Similar Items
-
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
by: Zeqiao, Li, et al.
Published: (2025) -
Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching
by: Li, Zeqiao, et al.
Published: (2026) -
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024) -
Doe-1: Closed-Loop Autonomous Driving with Large World Model
by: Zheng, Wenzhao, et al.
Published: (2024) -
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)