Scott Reed

Computer Science · Physical Sciences

30h-index54.8kcitations73works2.82yr avg
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Research Topics

Reinforcement Learning in Robotics(15), Robot Manipulation and Learning(15), Multimodal Machine Learning Applications(14), Domain Adaptation and Few-Shot Learning(10), Generative Adversarial Networks and Image Synthesis(8)

Publications73 total

World Action Models are Zero-shot Policies
ArXiv.org·2026Open Access
World Action Models are Zero-shot Policies
arXiv (Cornell University)·2026Open Access
QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation
arXiv (Cornell University)·2025Open Access
Genie: Generative Interactive Environments
arXiv (Cornell University)·2024· 11 citedOpen Access
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
arXiv (Cornell University)·2023· 9 citedOpen Access
Inorganic volumetric light source excited by ultraviolet light
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
A Generalist Agent
arXiv (Cornell University)·2022· 63 citedOpen Access
Shaking the foundations: delusions in sequence models for interaction and control
arXiv (Cornell University)·2021· 7 citedOpen Access
Shaking the foundations: delusions in sequence models for interaction\n and control
arXiv (Cornell University)·2021· 19 citedOpen Access
Semi-supervised reward learning for offline reinforcement learning
arXiv (Cornell University)·2020· 7 citedOpen Access
Offline Learning from Demonstrations and Unlabeled Experience
arXiv (Cornell University)·2020· 14 citedOpen Access
Scaling data-driven robotics with reward sketching and batch reinforcement learning
2020· 59 cited
Critic Regularized Regression
arXiv (Cornell University)·2020· 14 citedOpen Access
Critic Regularized Regression
arXiv (Cornell University)·2020· 90 citedOpen Access
Learning Compositional Neural Programs with Recursive Tree Search and Planning
HAL (Le Centre pour la Communication Scientifique Directe)·2019· 6 cited
Task-Relevant Adversarial Imitation Learning
arXiv (Cornell University)·2019· 22 citedOpen Access
A Framework for Data-Driven Robotics
arXiv (Cornell University)·2019· 11 citedOpen Access
Scaling data-driven robotics with reward sketching and batch reinforcement learning
arXiv (Cornell University)·2019· 45 citedOpen Access
Task-Relevant Adversarial Imitation Learning
arXiv (Cornell University)·2019· 2 citedOpen Access
Learning Compositional Neural Programs with Recursive Tree Search and Planning
arXiv (Cornell University)·2019· 13 citedOpen Access
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Frequent Co-authors

Nando de Freitas(25), Honglak Lee(11), Konrad Żołna(11), Sergio Gómez Colmenarejo(9), Yusuf Aytar(9), Ziyu Wang(8), David Budden(8), Nicolas Heess(7), Serkan Cabi(7), Alexander Novikov(6), Misha Denil(6), Christian Szegedy(5), Dragomir Anguelov(5), Dumitru Erhan(5), Zeynep Akata(5), Bernt Schiele(5), Çaǧlar Gülçehre(5), Aäron van den Oord(5), Andrew Rabinovich(4), Jost Tobias Springenberg(4)