{"total":42,"rows":[{"id":"2503.03125","title":"Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving","created":"2025-03-05","cited_by_count":84,"area":"driving"},{"id":"2207.10422","title":"Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving","created":"2022-07-21","cited_by_count":73,"area":"driving"},{"id":"2404.06892","title":"SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving","created":"2024-04-10","cited_by_count":47,"area":"driving"},{"id":"2307.16118","title":"MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections","created":"2023-07-30","cited_by_count":38,"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":"2408.09675","title":"Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey","created":"2024-08-19","cited_by_count":32,"area":"driving"},{"id":"2102.09243","title":"Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving","created":"2021-02-18","cited_by_count":27,"area":"driving"},{"id":"2208.12263","title":"Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving","created":"2022-08-24","cited_by_count":24,"area":"driving"},{"id":"2506.09800","title":"Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":19,"area":"driving"},{"id":"2402.01443","title":"FRENETIX: A High-Performance and Modular Motion Planning Framework for Autonomous Driving","created":"2024-02-02","cited_by_count":14,"area":"driving"},{"id":"2407.19280","title":"Large Language Models for Human-like Autonomous Driving: A Survey","created":"2024-07-27","cited_by_count":14,"area":"driving"},{"id":"2502.01387","title":"TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning","created":"2025-02-03","cited_by_count":13,"area":"driving"},{"id":"2105.14218","title":"A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles","created":"2021-05-29","cited_by_count":10,"area":"driving"},{"id":"2305.03303","title":"Occupancy Prediction-Guided Neural Planner for Autonomous Driving","created":"2023-05-05","cited_by_count":8,"area":"driving"},{"id":"2110.00640","title":"Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning","created":"2021-10-01","cited_by_count":7,"area":"driving"},{"id":"2312.11935","title":"Parameterized Decision-making with Multi-modal Perception for Autonomous Driving","created":"2023-12-19","cited_by_count":7,"area":"driving"},{"id":"2409.13144","title":"Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions","created":"2024-09-20","cited_by_count":7,"area":"driving"},{"id":"2306.03220","title":"Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving","created":"2023-06-05","cited_by_count":6,"area":"driving"},{"id":"2402.01465","title":"A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving","created":"2024-02-02","cited_by_count":5,"area":"driving"},{"id":"2409.17659","title":"Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning","created":"2024-09-26","cited_by_count":5,"area":"driving"},{"id":"2210.03772","title":"Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation","created":"2022-10-07","cited_by_count":4,"area":"driving"},{"id":"2211.14440","title":"Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving","created":"2022-11-22","cited_by_count":3,"area":"driving"},{"id":"2312.04805","title":"Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions","created":"2023-12-08","cited_by_count":2,"area":"driving"},{"id":"2412.10822","title":"Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement","created":"2024-12-14","cited_by_count":2,"area":"driving"},{"id":"2506.16546","title":"BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios","created":"2025-06-19","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":"2110.07729","title":"An Independent Study of Reinforcement Learning and Autonomous Driving","created":"2021-08-20","cited_by_count":1,"area":"driving"},{"id":"2207.07829","title":"Robust AI Driving Strategy for Autonomous Vehicles","created":"2022-07-16","cited_by_count":1,"area":"driving"},{"id":"2404.12256","title":"An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles","created":"2024-04-18","cited_by_count":1,"area":"driving"},{"id":"2406.05575","title":"A Survey on Hybrid Motion Planning Methods for Automated Driving Systems","created":"2024-06-08","cited_by_count":1,"area":"driving"},{"id":"2409.12997","title":"VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness","created":"2024-09-19","cited_by_count":1,"area":"driving"},{"id":"2503.02076","title":"CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles","created":"2025-03-03","cited_by_count":1,"area":"driving"},{"id":"2506.23023","title":"Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making","created":"2025-06-28","cited_by_count":1,"area":"driving"},{"id":"2508.06074","title":"ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception","created":"2025-08-08","cited_by_count":1,"area":"driving"},{"id":"2302.04321","title":"Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles","created":"2023-02-08","cited_by_count":0,"area":"driving"},{"id":"2309.10007","title":"Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem","created":"2023-09-18","cited_by_count":0,"area":"driving"},{"id":"2309.12534","title":"Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning","created":"2023-09-21","cited_by_count":0,"area":"driving"},{"id":"2408.12190","title":"A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model","created":"2024-08-22","cited_by_count":0,"area":"driving"},{"id":"2502.06843","title":"Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation","created":"2025-02-06","cited_by_count":0,"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":"2509.24313","title":"Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning","created":"2025-09-29","cited_by_count":0,"area":"driving"},{"id":"2603.17714","title":"From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving","created":"2026-03-18","cited_by_count":0,"area":"driving"}],"next_cursor":null}