CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Xiaoji, Yang, Ziyuan, Chen, Yanhao, Peng, Yuhang, Tang, Yuanrong, Liu, Gengyuan, Chen, Bokui, Gong, Jiangtao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2024)
by: Zheng, Xiaoji, et al.
Published: (2024)
Embodied Cognition Augmented End2End Autonomous Driving
by: Niu, Ling, et al.
Published: (2025)
by: Niu, Ling, et al.
Published: (2025)
COLP: Scaffolding Children's Online Long-term Collaborative Learning
by: Zha, Siyu, et al.
Published: (2025)
by: Zha, Siyu, et al.
Published: (2025)
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)
by: Yang, Pengxuan, et al.
Published: (2026)
GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
by: Duan, Xinyi, et al.
Published: (2026)
by: Duan, Xinyi, et al.
Published: (2026)
Human Tool: An MCP-Style Framework for Human-Agent Collaboration
by: Tang, Yuanrong, et al.
Published: (2026)
by: Tang, Yuanrong, et al.
Published: (2026)
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
by: Zheng, Yupeng, et al.
Published: (2025)
by: Zheng, Yupeng, et al.
Published: (2025)
FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
by: Peng, Yuhang, et al.
Published: (2025)
by: Peng, Yuhang, et al.
Published: (2025)
WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2025)
by: Yang, Pengxuan, et al.
Published: (2025)
CA+: Cognition Augmented Counselor Agent Framework for Long-term Dynamic Client Engagement
by: Tang, Yuanrong, et al.
Published: (2025)
by: Tang, Yuanrong, et al.
Published: (2025)
TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
by: Tomov, Momchil S., et al.
Published: (2025)
by: Tomov, Momchil S., 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)
by: Lian, Zhexi, 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)
LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
by: Zhang, Yuhang, et al.
Published: (2025)
by: Zhang, Yuhang, et al.
Published: (2025)
GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
CoMI-IRL: Contrastive Multi-Intention Inverse Reinforcement Learning
by: Mone, Antonio, et al.
Published: (2026)
by: Mone, Antonio, et al.
Published: (2026)
Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)
by: Wang, Linbo, et al.
Published: (2026)
Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments
by: Peng, Yuhang, et al.
Published: (2025)
by: Peng, Yuhang, et al.
Published: (2025)
ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts
by: Jiang, Haowen, et al.
Published: (2025)
by: Jiang, Haowen, et al.
Published: (2025)
AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models
by: Yan, Tianyi, et al.
Published: (2025)
by: Yan, Tianyi, et al.
Published: (2025)
Enhancing End-to-End Autonomous Driving with Latent World Model
by: Li, Yingyan, et al.
Published: (2024)
by: Li, Yingyan, et al.
Published: (2024)
Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
by: Zheng, Yupeng, et al.
Published: (2024)
by: Zheng, Yupeng, 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)
by: Gong, C., et al.
Published: (2024)
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
by: jia, Feiyang, et al.
Published: (2026)
by: jia, Feiyang, et al.
Published: (2026)
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
by: Cheng, Jie, et al.
Published: (2024)
by: Cheng, Jie, et al.
Published: (2024)
GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
by: Lu, Yuhang, et al.
Published: (2025)
by: Lu, Yuhang, et al.
Published: (2025)
IRL-DAL: Safe and Adaptive Trajectory Planning for Autonomous Driving via Energy-Guided Diffusion Models
by: Miangoleh, Seyed Ahmad Hosseini, et al.
Published: (2026)
by: Miangoleh, Seyed Ahmad Hosseini, 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)
Beyond Imitation: Reinforcement Learning for Active Latent Planning
by: Zheng, Zhi, et al.
Published: (2026)
by: Zheng, Zhi, et al.
Published: (2026)
DriveFuture: Future-Aware Latent World Models for Autonomous Driving
by: Hong, Yufeng, et al.
Published: (2026)
by: Hong, Yufeng, et al.
Published: (2026)
CoT4AD: A Vision-Language-Action Model with Explicit Chain-of-Thought Reasoning for Autonomous Driving
by: Wang, Zhaohui, et al.
Published: (2025)
by: Wang, Zhaohui, et al.
Published: (2025)
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)
ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, 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)
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
Reinforced Imitative Trajectory Planning for Urban Automated Driving
by: Zeng, Di, et al.
Published: (2024)
by: Zeng, Di, et al.
Published: (2024)
LACO: Adaptive Latent Communication for Collaborative Driving
by: Chen, Tianhao, et al.
Published: (2026)
by: Chen, Tianhao, et al.
Published: (2026)
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models
by: Chen, Jiao, et al.
Published: (2024)
by: Chen, Jiao, et al.
Published: (2024)
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)
by: Zheng, Zhiyu, et al.
Published: (2025)
Similar Items
-
Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2024) -
Embodied Cognition Augmented End2End Autonomous Driving
by: Niu, Ling, et al.
Published: (2025) -
COLP: Scaffolding Children's Online Long-term Collaborative Learning
by: Zha, Siyu, et al.
Published: (2025) -
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026) -
GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
by: Duan, Xinyi, et al.
Published: (2026)