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researcher

L. Wong

22 papers hereh-index 181.3k citations56 works total

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

author position
  • middle author7
  • last author15

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.RO8
  • cs.AI4
same name
  • L. Wong — 13 papers, h 10
  • L. Wong — 11 papers, h 13
  • L. Wong — 10 papers, h 25
  • L. Wong — 9 papers, h 7
  • L. Wong — 2 papers, h 13
  • L. Wong — 1 paper, h 1

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
20172026
most citedDeep Imitation Learning for Bimanual Robotic Manipulation

14 citations · 43 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.AI2021

Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding

Seth Pate, Wei Xu, Ziyi Yang +3

To enable robots to instruct humans in collaborations, we identify several aspects of language processing that are not commonly studied in this context. These include location, pla…

cs.LG2021

Bad-Policy Density: A Measure of Reinforcement Learning Hardness

David Abel, Cameron Allen, Dilip Arumugam +3

Reinforcement learning is hard in general. Yet, in many specific environments, learning is easy. What makes learning easy in one environment, but difficult in another? We address t…

cs.RO2021★ 3 cited

Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps

Chengguang Xu, Christopher Amato, Lawson L. S. Wong

In robot navigation, generalizing quickly to unseen environments is essential. Hierarchical methods inspired by human navigation have been proposed, typically consisting of a high-…

cs.RO2021

Action Priors for Large Action Spaces in Robotics

Ondrej Biza, Dian Wang, Robert Platt +2

In robotics, it is often not possible to learn useful policies using pure model-free reinforcement learning without significant reward shaping or curriculum learning. As a conseque…

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