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Guanzhi Wang

Guanzhi Wang has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Anima Anandkumar, De-An Huang, Linxi Fan.

2 papers in our library · 2022–2023

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,001 times in our library · 14 more in our library without a page yet · ⭐ Paper Stars ranking: #5618

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓California Institute of TechnologyPasadena · United States2022–2026 · 11 papers🎓Stanford UniversityStanford · United States2019–2021 · 4 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2019–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksControl and Systems Engineering · 1 workEngineering · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (2022 · 149 citations)
    Most embodied agents are trained from scratch in narrow environments with hand-designed objectives, so they rarely generalize to new goals.
  2. Eureka: Human-Level Reward Design via Coding Large Language Models (2023 · 142 citations)
    Hand-crafting reward functions for reinforcement learning is slow, relies on trial and error, and often yields sub-optimal results.

All works

16 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Voyager: An Open-Ended Embodied Agent with Large Language Models ↗arXiv:2305.16291 · no summary yetGuanzhi Wang et al.2023 · 639 citations
  2. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
  3. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  4. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
  5. GR00T N1: An Open Foundation Model for Generalist Humanoid Robots ↗arXiv:2503.14734 · no summary yetNVIDIA et al.2025 · 123 citations
  6. VIMA: General Robot Manipulation with Multimodal Prompts ↗arXiv:2210.03094 · no summary yetYunfan Jiang et al.2022 · 117 citations
  7. RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition ↗Lecture notes in computer science · no summary yetLinxi Fan et al.2020 · 69 citations
  8. World Action Models are Zero-shot Policies ↗arXiv (Cornell University) · no summary yetSeonghyeon Ye et al.2026 · 41 citations
  9. SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ↗arXiv (Cornell University) · no summary yetFan, Linxi et al.2021 · 16 citations
  10. FLARE: Robot Learning with Implicit World Modeling ↗arXiv (Cornell University) · no summary yetRuijie Zheng et al.2025 · 15 citations
  11. DreamGen: Unlocking Generalization in Robot Learning through Video World Models ↗arXiv (Cornell University) · no summary yetJoel Jang et al.2025 · 12 citations
  12. CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation ↗arXiv (Cornell University) · no summary yetMax Fu et al.2026 · 7 citations
  13. NitroGen: An Open Foundation Model for Generalist Gaming Agents ↗arXiv (Cornell University) · no summary yetLoïc Magne et al.2026 · 5 citations
  14. ENPIRE: Agentic Robot Policy Self-Improvement in the Real World ↗arXiv (Cornell University) · no summary yetWenli Xiao et al.2026 · 5 citations
  15. ASPIRE: Agentic /Skills Discovery for Robotics ↗arXiv (Cornell University) · no summary yetRunyu Lu et al.2026 · 2 citations
  16. GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks ↗arXiv (Cornell University) · no summary yetKaiyuan Chen et al.2026 · 1 citation

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1,001 times (of the 149,439 papers whose bibliographies we read); 140 citing papers with a page here →.

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