Author

Scott Reed

Author of 8 papers in this index, working on foundation models & pretraining and vision-language-action.

8papers in this index

—career papers

—citations

—h-index

Identified by Semantic Scholar author 2344615904 on the paper records, so a namesake does not share this page. Career figures are that profile's and are not on file yet.

Papers in this index

2026-07-16

RoboTTT: Context Scaling for Robot Policies

Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng +8 · 3 citations

Vision-language-action Egocentric & human data

2026-02-17

World Action Models are Zero-shot Policies

Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng +33 · 276 citations

Vision-language-action Foundation models & pretraining

2025-10-28

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Arslan Ali +87 · 167 citations

Simulation, sim-to-real & benchmarks Reinforcement learning & control

2025-05-21

FLARE: Robot Learning with Implicit World Modeling

Ruijie Zheng, Jing Wang, Scott Reed +18 · 84 citations

World models Vision-language-action

2025-05-19

DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Joel Jang, Seonghyeon Ye, Zongyu Lin +25 · 139 citations

World models Humanoids & locomotion

2025-03-18

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

NVIDIA, :, Johan Bjorck +40 · 1,220 citations

Vision-language-action Humanoids & locomotion

2024-02-23

Genie: Generative Interactive Environments

Jake Bruce, Michael Dennis, Ashley Edwards +22 · 762 citations

ICMLWorld models Video & generative modeling

2022-05-12

A Generalist Agent

Scott Reed, Konrad Zolna, Emilio Parisotto +17 · 1,140 citations

Trans. Mach. Learn. Res.Foundation models & pretraining

Works with

Yuke Zhu Ruijie Zheng Fengyuan Hu Seonghyeon Ye Jan Kautz Joel Jang You Liang Tan Jiannan Xiang Yinzhen Xu Guanzhi Wang

Co-authors on the papers above, most frequent first. Linked names have a page here.

Works on

Foundation models & pretraining Vision-language-action Video & generative modeling Egocentric & human data