:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhao, Albert, Soatto, Stefano
Formato:	Preprint
Publicado:	2025
Materias:	Robotics Artificial Intelligence Machine Learning
Acceso en línea:	https://arxiv.org/abs/2505.12327
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
por: Zheng, Yinan, et al.
Publicado: (2025)

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
por: Yang, Brian, et al.
Publicado: (2024)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
por: Stoler, Benjamin, et al.
Publicado: (2024)

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
por: Zheng, Yinan, et al.
Publicado: (2026)

Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
por: Du, Jiayuan, et al.
Publicado: (2026)

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

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
por: Couto, Gustavo Claudio Karl, et al.
Publicado: (2023)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
por: Zhou, Zikang, et al.
Publicado: (2024)

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
por: Peng, Mingxing, et al.
Publicado: (2025)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
por: Wang, Chengyue, et al.
Publicado: (2024)

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
por: Terver, Basile, et al.
Publicado: (2025)

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
por: NVIDIA, et al.
Publicado: (2025)

World Models for Autonomous Driving: An Initial Survey
por: Guan, Yanchen, et al.
Publicado: (2024)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
por: Lin, Haohong, et al.
Publicado: (2023)

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees
por: Hassidof, Yaniv, et al.
Publicado: (2025)

NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
por: Kim, Donghyun, et al.
Publicado: (2024)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
por: Sygkounas, Alkis, et al.
Publicado: (2025)

Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation
por: Zhao, Ke, et al.
Publicado: (2024)

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
por: Giamattei, Luca, et al.
Publicado: (2024)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
por: Carvalho, Joao, et al.
Publicado: (2023)

Diffusion-Reward Adversarial Imitation Learning
por: Lai, Chun-Mao, et al.
Publicado: (2024)

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
por: Bosio, Carlo, et al.
Publicado: (2025)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
por: Charraut, Valentin, et al.
Publicado: (2025)

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits
por: Hu, Yuting, et al.
Publicado: (2025)

Robust Policy Learning via Offline Skill Diffusion
por: Kim, Woo Kyung, et al.
Publicado: (2024)

Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
por: Hassidof, Yaniv, et al.
Publicado: (2026)

Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
por: Tang, Chen, et al.
Publicado: (2021)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
por: Abouelazm, Ahmed, et al.
Publicado: (2024)

LORD: Large Models based Opposite Reward Design for Autonomous Driving
por: Ye, Xin, et al.
Publicado: (2024)

RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving
por: Reddy, Ruturaj, et al.
Publicado: (2026)

Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
por: Guillen-Perez, Antonio
Publicado: (2025)

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving
por: Wang, Jingyi, et al.
Publicado: (2025)

Align2Act: Instruction-Tuned Models for Human-Aligned Autonomous Driving
por: Jaisankar, Kanishkha, et al.
Publicado: (2025)

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

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

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
por: Katare, Dewant, et al.
Publicado: (2023)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
por: Hu, Xuemin, et al.
Publicado: (2024)

Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning
por: Harmel, Moritz, et al.
Publicado: (2023)

HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
por: Wang, Jin, et al.
Publicado: (2024)

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
por: Zhang, Lunjun, et al.
Publicado: (2023)