RL for Autonomous Driving

RL: Reinforcement Learning

Overview

The field studies how vehicles can learn driving decisions and controls through rewards and interaction, including how to navigate traffic, avoid hazards, and coordinate with other road users. Methods range from PPO, SAC, and DQN to model-based and world-model learning, multi-agent reinforcement learning, and combinations of imitation learning with diffusion or vision-language-action planners. Safety is addressed through reward design, expert guidance, control barrier functions, and reachability constraints, with evaluation commonly using CARLA, nuPlan, NAVSIM, and Bench2Drive. A central challenge is achieving sample-efficient learning that remains safe and reliable in closed-loop, unfamiliar, and real-world conditions, where simulator fidelity and trade-offs among safety, progress, and comfort matter.

Latest papers

CardsList

120 papers21 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

  1. ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

    Apr 3, 2026Zihao Sheng, Xin Ye, Jingru Luo +2World Model LearningVLMs for Autonomous Driving

  2. Robust Global-Local Behavior Arbitration via Continuous Command Fusion Under LiDAR Errors

    Mar 28, 2026Mohamed Elgouhary, Amr S. El-WakeelAutonomous DrivingAutonomous Driving Safety Evaluation

  3. Autonomous overtaking trajectory optimization using reinforcement learning and opponent pose estimation

    Mar 28, 2026Matej Rene Cihlar, Luka Šiktar, Branimir Ćaran +1Autonomous DrivingAutonomous Racing

  4. Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control

    Mar 26, 2026Zhuoli Zhuang, Yu-Cheng Chang, Yu-Kai Wang +2RL for Autonomous DrivingReinforcement Learning

  5. Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles

    Mar 26, 2026Pankaj Kumar, Pranamesh Chakraborty, Subrahmanya Swamy PeruruIntelligent Transportation SystemsRL for Autonomous Driving

  6. COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems

    Mar 26, 2026Yifeng Zhang, Jieming Chen, Tingguang Zhou +4Centralized Training with Decentralized ExecutionMulti-Agent Coordination

  7. DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

    Mar 25, 2026Pengxuan Yang, Yupeng Zheng, Deheng Qian +11RL for Autonomous DrivingLatent World Models

  8. Partial Attention in Deep Reinforcement Learning for Safe Multi-Agent Control

    Mar 23, 2026Turki Bin Mohaya, Peter SeilerRL for Autonomous DrivingMulti-Agent Reinforcement Learning

  9. DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

    Mar 18, 2026Zilin Huang, Zihao Sheng, Zhengyang Wan +4VLMs for Autonomous DrivingLLM-Guided RL

  10. CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving

    Mar 16, 2026Yihong Guo, Dongqiangzi Ye, Sijia Chen +2Autonomous Driving PlanningSafe Motion Planning

  11. PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning

    Mar 16, 2026Yinfeng Gao, Qichao Zhang, Deqing Liu +8End-to-End Autonomous DrivingRL for Autonomous Driving

  12. Senna-2: Aligning VLM and End-to-End Driving Policy for Consistent Decision Making and Planning

    Mar 11, 2026Yuehao Song, Shaoyu Chen, Hao Gao +8End-to-End Autonomous DrivingAutonomous Driving Planning

  13. Emergency Lane-Change Simulation: A Behavioral Guidance Approach for Risky Scenario Generation

    Mar 8, 2026Chen Xiong, Cheng Wang, Yuhang Liu +2Autonomous Driving Scenario GenerationAutonomous Driving Simulation

  14. Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models

    Mar 6, 2026Canyu Chen, Yuguang Yang, Zhewen Tan +10Autonomous DrivingVLMs for Autonomous Driving

  15. TADPO: Reinforcement Learning Goes Off-road

    Mar 6, 2026Zhouchonghao Wu, Raymond Song, Vedant Mundheda +3End-to-End Autonomous DrivingAutonomous Driving

  16. Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving

    Mar 6, 2026Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll +2Multi-Objective Reinforcement LearningRL for Autonomous Driving

  17. Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous Driving

    Mar 3, 2026Tianze Zhu, Yinuo Wang, Wenjun Zou +6Reinforcement LearningRL for Autonomous Driving

  18. Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures

    Mar 1, 2026Yuechen Luo, Qimao Chen, Fang Li +5VLMs for Autonomous DrivingRL for Autonomous Driving

  19. TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving

    Feb 27, 2026Xiaotong Zhang, Gang Xiong, Yuanjing Wang +3Multi-Agent CoordinationDecentralized MARL

  20. DriveFine: Refining-Augmented Masked Diffusion VLA for Precise and Robust Driving

    Feb 16, 2026Chenxu Dang, Sining Ang, Yongkang Li +7VLMs for Autonomous DrivingDiffusion-Based Planning

  21. Preference-Conditioned Multi-Objective Reinforcement Learning for Tactical Decision Making in Heavy-Duty Vehicles

    Jan 26, 2026Deepthi Pathare, Leo Laine, Morteza Haghir ChehreghaniMulti-Objective Reinforcement LearningRL for Autonomous Driving

  22. Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer

    Oct 28, 2025Zhenxin Li, Nadine Chang, Wenhao Yao +9Long-Tail Autonomous DrivingReinforcement Learning

  23. Drive As You Like: Multi-Head Diffusion with Reinforcement Learning for Personalized Driving

    Aug 23, 2025Ding Fan, Xuewen Luo, Hwa Hui Tew +3Autonomous Driving PlanningAutonomous Driving

  24. DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving

    Jul 5, 2025Ziying Song, Lin Liu, Hongyu Pan +7End-to-End Autonomous DrivingDiffusion-Based Planning

  25. A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective

    Mar 31, 2025Zhuoren Li, Guizhe Jin, Ran Yu +8Autonomous Driving PlanningRL for Autonomous Driving

  26. Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?

    Feb 17, 2025Natalie Grabowsky, Annika Mütze, Joshua Wendland +2Autonomous Driving PlanningRL for Autonomous Driving

  27. Fading Expert Guidance: Bridging Model-Based and Learning-Based Control for Abortable Autonomous Overtaking

    Aug 18, 2023Jinxiong Lu, Gokhan Alcan, Ville KyrkiAutonomous Driving PlanningRL for Autonomous Driving

  28. Security of Deep Reinforcement Learning for Autonomous Driving: A Survey

    Dec 12, 2022Ambra Demontis, Srishti Gupta, Maura Pintor +6Robust RLRL for Autonomous Driving