Image de couverture de livre

AutoWorld: Scaling Multi-Agent Traffic Simulation with Self-Supervised World Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pourkeshavatz, Mozhgan, Liu, Tianran, Rhinehart, Nicholas
Format:	Preprint
Publié:	2026
Sujets:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

OccSim: Multi-kilometer Simulation with Long-horizon Occupancy World Models
par: Liu, Tianran, et autres
Publié: (2026)

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
par: Tan, Shuhan, et autres
Publié: (2025)

GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment
par: He, Haoyang, et autres
Publié: (2025)

World Simulation with Video Foundation Models for Physical AI
par: NVIDIA, et autres
Publié: (2025)

Evaluating Gemini Robotics Policies in a Veo World Simulator
par: Gemini Robotics Team, et autres
Publié: (2025)

Towards foundational LiDAR world models with efficient latent flow matching
par: Liu, Tianran, et autres
Publié: (2025)

AdaWorld: Learning Adaptable World Models with Latent Actions
par: Gao, Shenyuan, et autres
Publié: (2025)

Navigation World Models
par: Bar, Amir, et autres
Publié: (2024)

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
par: Gao, Shenyuan, et autres
Publié: (2026)

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
par: Lancaster, Patrick, et autres
Publié: (2023)

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
par: Ahn, Michael, et autres
Publié: (2024)

Aether: Geometric-Aware Unified World Modeling
par: Aether Team, et autres
Publié: (2025)

Cosmos World Foundation Model Platform for Physical AI
par: NVIDIA, et autres
Publié: (2025)

Surfer: Progressive Reasoning with World Models for Robotic Manipulation
par: Ren, Pengzhen, et autres
Publié: (2023)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
par: Sun, Zhengqi, et autres
Publié: (2026)

From Perception to Action: Spatial AI Agents and World Models
par: Felicia, Gloria, et autres
Publié: (2026)

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
par: Chen, Yi, et autres
Publié: (2026)

GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
par: Lu, Guanxing, et autres
Publié: (2025)

Real-World Robot Applications of Foundation Models: A Review
par: Kawaharazuka, Kento, et autres
Publié: (2024)

MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications
par: Elazab, Gasser, et autres
Publié: (2024)

ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
par: Liang, Yichao, et autres
Publié: (2025)

TD-MPC2: Scalable, Robust World Models for Continuous Control
par: Hansen, Nicklas, et autres
Publié: (2023)

ReCoRe: Regularized Contrastive Representation Learning of World Model
par: Poudel, Rudra P. K., et autres
Publié: (2023)

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration
par: Ni, Chaojun, et autres
Publié: (2024)

Opening Articulated Structures in the Real World
par: Gupta, Arjun, et autres
Publié: (2024)

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
par: Seo, Junwon, et autres
Publié: (2026)

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
par: Zhang, Kaidong, et autres
Publié: (2024)

Learning Visual Feature-Based World Models via Residual Latent Action
par: Zhang, Xinyu, et autres
Publié: (2026)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
par: Assran, Mido, et autres
Publié: (2025)

From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
par: Athalye, Ashay, et autres
Publié: (2024)

Critiques of World Models
par: Xing, Eric, et autres
Publié: (2025)

SceneFoundry: Generating Interactive Infinite 3D Worlds
par: Chen, ChunTeng, et autres
Publié: (2026)

Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning
par: Ganai, Milan, et autres
Publié: (2026)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
par: Liang, Yichao, et autres
Publié: (2024)

Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
par: Kawaharazuka, Kento, et autres
Publié: (2025)

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics
par: Luan, Xueyu, et autres
Publié: (2026)

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
par: Zhang, Lunjun, et autres
Publié: (2023)

ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
par: Lai, Zhenglin, et autres
Publié: (2026)

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
par: NVIDIA, et autres
Publié: (2025)

WHAC: World-grounded Humans and Cameras
par: Yin, Wanqi, et autres
Publié: (2024)