{"total":22,"rows":[{"id":"2104.13906","title":"Reward (Mis)design for Autonomous Driving","created":"2021-04-28","cited_by_count":104,"area":"driving"},{"id":"2202.10341","title":"Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization","created":"2022-02-17","cited_by_count":49,"area":"driving"},{"id":"2509.17940","title":"DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving","created":"2025-09-22","cited_by_count":39,"area":"driving"},{"id":"2401.03160","title":"HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving","created":"2024-01-06","cited_by_count":32,"area":"driving"},{"id":"2110.06831","title":"Safe Driving via Expert Guided Policy Optimization","created":"2021-10-13","cited_by_count":31,"area":"driving"},{"id":"2503.10434","title":"Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback","created":"2025-03-13","cited_by_count":17,"area":"driving"},{"id":"2603.06049","title":"Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models","created":"2026-03-06","cited_by_count":15,"area":"driving"},{"id":"2404.04869","title":"Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs","created":"2024-04-07","cited_by_count":13,"area":"driving"},{"id":"2409.00858","title":"Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving","created":"2024-09-01","cited_by_count":8,"area":"driving"},{"id":"2403.18965","title":"LORD: Large Models based Opposite Reward Design for Autonomous Driving","created":"2024-03-27","cited_by_count":6,"area":"driving"},{"id":"2409.11694","title":"From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving","created":"2024-09-18","cited_by_count":5,"area":"driving"},{"id":"2412.16201","title":"CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning","created":"2024-12-17","cited_by_count":5,"area":"driving"},{"id":"2509.02754","title":"Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving","created":"2025-09-02","cited_by_count":4,"area":"driving"},{"id":"2402.05146","title":"Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving","created":"2024-02-07","cited_by_count":3,"area":"driving"},{"id":"2603.16050","title":"The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving Models","created":"2026-03-17","cited_by_count":3,"area":"driving"},{"id":"2603.25968","title":"Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control","created":"2026-03-26","cited_by_count":3,"area":"driving"},{"id":"2205.08712","title":"CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks","created":"2022-05-18","cited_by_count":2,"area":"driving"},{"id":"2503.20804","title":"AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models","created":"2025-03-24","cited_by_count":2,"area":"driving"},{"id":"2510.06038","title":"From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning","created":"2025-10-07","cited_by_count":2,"area":"driving"},{"id":"2605.20082","title":"VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving","created":"2026-05-19","cited_by_count":1,"area":"driving"},{"id":"2506.03568","title":"Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving","created":"2025-06-04","cited_by_count":0,"area":"driving"},{"id":"2609.38862","title":"Efficient Multi-Modal Planning with Reward-Guided Preference Optimization for Autonomous Driving","created":"2026-09-30","cited_by_count":0,"area":"driving"}],"next_cursor":null}