:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Baotian, Li, Yibing
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2404.18464
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
by: Zheng, Yupeng, et al.
Published: (2024)

PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
by: Cheng, Jie, et al.
Published: (2024)

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

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022)

Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
by: Li, Guanzhou, et al.
Published: (2024)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, et al.
Published: (2024)

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2025)

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)

Imitation Learning for Autonomous Driving: Insights from Real-World Testing
by: Dursun, Hidayet Ersin, et al.
Published: (2025)

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
by: Lian, Zhexi, et al.
Published: (2026)

Reinforced Imitative Trajectory Planning for Urban Automated Driving
by: Zeng, Di, et al.
Published: (2024)

Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River
by: Wang, Zihan, et al.
Published: (2024)

Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving
by: Gong, C., et al.
Published: (2024)

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
by: Mirkhani, Hamidreza, et al.
Published: (2025)

CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
by: Li, Yueyuan, et al.
Published: (2024)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
by: Grislain, Clémence, et al.
Published: (2024)

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

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network
by: Cui, Yixin, et al.
Published: (2025)

Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
by: Li, Xiang, et al.
Published: (2025)

Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, 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)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
by: Duan, Yiqun, et al.
Published: (2024)

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
by: Li, Zhenxin, et al.
Published: (2025)

Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives
by: Wang, Junli, et al.
Published: (2026)

An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions
by: Li, Siyuan, et al.
Published: (2024)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
by: Guillen-Perez, Antonio
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)

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

Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
by: Shi, Liangzhi, et al.
Published: (2026)

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)

Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
by: Langmann, Alexander, 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)

Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving
by: Fischer, Johannes, et al.
Published: (2025)

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

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

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

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

First-principles Based 3D Virtual Simulation Testing for Discovering SOTIF Corner Cases of Autonomous Driving
by: Li, Lehang, et al.
Published: (2024)