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Lei M. Zhang

8 papers hereh-index 41.7k citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author5

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI2
  • cs.CV1
  • cs.RO1
same name
  • Lei M. Zhang — 10 papers, h 5
  • Lei M. Zhang — 3 papers, h 6
  • Lei M. Zhang — 2 papers, h 2
  • Lei M. Zhang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedSolving Rubik's Cube with a Robot Hand

635 citations · 666 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023★ 22 cited

Human-Timescale Adaptation in an Open-Ended Task Space

Adaptive Agent Team, Jakob Bauer, Kate Baumli +25

Foundation models have shown impressive adaptation and scalability in supervised and self-supervised learning problems, but so far these successes have not fully translated to rein…

cs.LG2022★ 2 cited

Learning Robust Real-Time Cultural Transmission without Human Data

Cultural General Intelligence Team, Avishkar Bhoopchand, Bethanie Brownfield +16

Cultural transmission is the domain-general social skill that allows agents to acquire and use information from each other in real-time with high fidelity and recall. In humans, it…

cs.LG2020

Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models

Lei M. Zhang, Matthias Plappert, Wojciech Zaremba

We propose a method to predict the sim-to-real transfer performance of RL policies. Our transfer metric simplifies the selection of training setups (such as algorithm, hyperparamet…

cs.LG2019★ 635 cited

Solving Rubik's Cube with a Robot Hand

OpenAI, Ilge Akkaya, Marcin Andrychowicz +16

We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. This is made possible by two key comp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.