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Lerrel Pinto

56 papers hereh-index 419.3k citations70 works total

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

author position
  • first author7
  • middle author23
  • last author26

Across the 56 of 56 papers where every author was matched, so the position is known.

fields
  • cs.RO34
  • cs.LG17
  • cs.AI2
  • cs.CV1
  • eess.SY1
  • stat.ML1
same name
  • Lerrel Pinto — 23 papers, h 15
  • Lerrel Pinto — 11 papers, h 10
  • Lerrel Pinto — 3 papers, h 3
  • Lerrel Pinto — 2 papers

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
20152026
most citedRobust Adversarial Reinforcement Learning

384 citations · 1.5k across the 50 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.RO2019★ 18 cited

Learning to Manipulate Deformable Objects without Demonstrations

Yilin Wu, Wilson Yan, Thanard Kurutach +2

In this paper we tackle the problem of deformable object manipulation through model-free visual reinforcement learning (RL). In order to circumvent the sample inefficiency of RL, w…

cs.RO2019★ 42 cited

Environment Probing Interaction Policies

Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta

A key challenge in reinforcement learning (RL) is environment generalization: a policy trained to solve a task in one environment often fails to solve the same task in a slightly d…

cs.RO2019★ 51 cited

PyRobot: An Open-source Robotics Framework for Research and Benchmarking

Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala +4

This paper introduces PyRobot, an open-source robotics framework for research and benchmarking. PyRobot is a light-weight, high-level interface on top of ROS that provides a consis…

cs.RO2019★ 3 cited

Robot Learning via Human Adversarial Games

Jiali Duan, Qian Wang, Lerrel Pinto +2

Much work in robotics has focused on "human-in-the-loop" learning techniques that improve the efficiency of the learning process. However, these algorithms have made the strong ass…

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