Builders & open source
Bob McGrew
Listed in OpenAI's executive leadership on the o1 System Card; led aspects of OpenAI's robot-hand research
Bob McGrew worked at OpenAI, where the OpenAI o1 System Card (2024) lists McGrew under executive leadership. On OpenAI's 2019 paper on solving a Rubik's Cube with a robot hand, McGrew is an equal-contribution author, and the contributions section says McGrew led aspects of the project and set research directions. McGrew is also a co-author, with an OpenAI affiliation, of the 2021 Codex paper that introduced the HumanEval benchmark.123
At a glance
- Current role
- None confirmed in the sources
- Sector
- Independent
- Work listed
- 4
- Sources cited
- 8
- Profile reviewed
Career
Bob McGrew's papers cited here run from 2017 to 2024, beginning with robotics and reinforcement learning research. The OpenAI o1 System Card, released in December 2024, lists McGrew under executive leadership.41
Research
McGrew co-authored several robotics and reinforcement learning papers, starting with Hindsight Experience Replay (2017), a method for learning from sparse rewards. Later work trained a five-fingered robot hand in simulation for in-hand object manipulation (2018) and then for solving a Rubik's Cube (2019), where the paper credits McGrew with leading aspects of the project and setting research directions.452
McGrew also co-authored a 2019 hide-and-seek study on emergent tool use among competing agents. In language models, McGrew is a co-author of the 2021 Codex paper that introduced the HumanEval benchmark and is listed among the authors of the GPT-4 Technical Report (2023).637
Work and contributions
HumanEval Open data
Co-author, with an OpenAI affiliation, of "Evaluating Large Language Models Trained on Code" (2021), the Codex paper that introduced and released the HumanEval evaluation set.38
Solving Rubik's Cube with a Robot Hand Published research
Equal-contribution author of the 2019 OpenAI paper on a five-fingered robot hand trained with reinforcement learning and automatic domain randomization; the contributions section says McGrew led aspects of the project and set research directions.2
OpenAI o1 Proprietary product
Listed under executive leadership in the authorship section of the OpenAI o1 System Card (2024).1
Emergent Tool Use From Multi-Agent Autocurricula Published research
Co-author of the 2019 hide-and-seek study, in which agents trained with multi-agent reinforcement learning develop a sequence of strategies, including tool use, without explicit incentives for them.6
Timeline
- Co-authored Hindsight Experience Replay, a reinforcement learning paper.4
- Co-authored Learning Dexterous In-Hand Manipulation with an OpenAI robot hand.5
- Co-authored the hide-and-seek paper on emergent tool use.6
- Co-authored Solving Rubik's Cube with a Robot Hand as an equal-contribution author.2
- Co-authored the Codex paper that introduced the HumanEval benchmark.3
- Listed among the authors of the GPT-4 Technical Report.7
- Listed under executive leadership in the OpenAI o1 System Card.1
Documented roles
The sources do not confirm a current role; these are the roles they document.
Companies in their history
- OpenAI 63 people in the wiki
Related people
- Shixiang Shane GuConnected to OpenAI
- Susan ZhangConnected to OpenAI
- Wojciech ZarembaConnected to OpenAI
- Vikash KumarConnected to OpenAI
- Noam BrownConnected to OpenAI
- Rohit PrasadLanguage models · Robotics
- Lilian WengLanguage models · Reinforcement learning
- Johannes HagemannReinforcement learning · Language models
- Eiso KantLanguage models · Reinforcement learning
- Alexander WettigLanguage models · Reinforcement learning
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References
8 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- OpenAI o1 System Card (arXiv 2412.16720), authorship and credit attribution
- Solving Rubik's Cube with a Robot Hand (arXiv 1910.07113)
- Evaluating Large Language Models Trained on Code (arXiv 2107.03374)
- Hindsight Experience Replay (arXiv 1707.01495)
- Learning Dexterous In-Hand Manipulation (arXiv 1808.00177)
- Emergent Tool Use From Multi-Agent Autocurricula (arXiv 1909.07528)
- GPT-4 Technical Report (arXiv 2303.08774)
- openai/human-eval repository (README citation; MIT License)