Author

Gaoyue Zhou

Observed name: Zhou, Gaoyue

Institution: New York University

Observed institutions: New York University, Carnegie Mellon University, University of California, Berkeley

ORCID: 0009-0002-1713-5086

Observed ORCID: 0009-0002-1713-5086

OpenAlex ID: A5061988419

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

2023 · Embodiment Collaboration, O'Neill, Abby, et al. · arXiv (Cornell University) · 908

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Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

2024 · Abby O’Neill, Abdul Rehman, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 339

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

2024 · Zhou, Gaoyue, Pan, Hengkai, et al. · arXiv (Cornell University) · 270

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Navigation World Models

2025 · Amir Bar, Gaoyue Zhou, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 162

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Parrot: Data-Driven Behavioral Priors for Reinforcement Learning

2020 · Singh, Avi, Liu, Huihan, et al. · arXiv (Cornell University) · 101

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World Models for Learning Dexterous Hand-Object Interactions from Human Videos

2026 · Raktim Gautam Goswami, Amir Bar, et al. · Lecture notes in computer science · 48

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Beyond Language Modeling: An Exploration of Multimodal Pretraining

2026 · Tong, Shengbang, Fan, David, et al. · arXiv (Cornell University) · 44

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Temporal Straightening for Latent Planning

2026 · Wang, Ying, Bounou, Oumayma, et al. · arXiv (Cornell University) · 41

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Train Offline, Test Online: A Real Robot Learning Benchmark

2023 · Gaoyue Zhou, Victoria Dean, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 39

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Real World Offline Reinforcement Learning with Realistic Data Source

2023 · Gaoyue Zhou, Liyiming Ke, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 18

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RoboHive: A Unified Framework for Robot Learning

2023 · Vikash Kumar, Rutav Shah, et al. · neural information processing systems · 18

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Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia

2022 · Samee Ibraheem, Gaoyue Zhou, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 13

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Patch Policy: Efficient Embodied Control via Dense Visual Representations

2026 · Zhou, Gaoyue, Cui, Zichen Jeff, et al. · arXiv (Cornell University) · 2

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Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning

2023 · Stephen McAleer, Gabriele Farina, et al. · neural information processing systems · 1

Hierarchical World Models with Implicit Dynamics

2026 · Zhou, Gaoyue, Wu, Yvonne, et al. · arXiv (Cornell University)

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Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle

2026 · Wang, Yang, Liu, Hongxuan, et al. · arXiv (Cornell University)

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