Concepedia

Data-efficient Robot Learning

Data-Efficient Robot Learning is a subfield of Robot Learning that focuses on developing algorithms and methodologies enabling robots to acquire effective control policies with minimal interaction data, distinguishing itself by prioritizing sample efficiency in learning processes.

258

Publications

15.3K

Citations

1.1K

Authors

218

Institutions

Publications per year

2017–2026

220

Parents

Children

Publications

258

A Survey of Research on Cloud Robotics and Automation

Ben Kehoe, Sachin Patil, Pieter Abbeel et al. · IEEE Transactions on Automation Science and Engineering · 2015 · 828 citations · Full text

, , +17

Deep Q-learning From Demonstrations

Todd Hester, Matej Vecerík, Olivier Pietquin et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 809 citations · Full text

, , +15

Gaussian Processes for Data-Efficient Learning in Robotics and Control

Marc Peter Deisenroth, Dieter Fox, Carl Edward Rasmussen · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2013 · 657 citations · Full text

, , +15

Learning to Walk Via Deep Reinforcement Learning

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou et al. · 2019 · 436 citations · Full text

, , +17

CURL: Contrastive Unsupervised Representations for Reinforcement\n Learning

Aravind Srinivas, Michael Laskin, Pieter Abbeel · arXiv (Cornell University) · 2020 · 394 citations · Full text

, , +14

1–5 of 258

Authors

1.1K

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    18 publications · 1.9K citations

    16

    h-index

  2. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    17 publications · 2.7K citations

    13

    h-index

  3. MP
    Marc Peter Deisenroth

    Imperial College London, United Kingdom

    9 publications · 1.4K citations

    9

    h-index

  4. LP
    Lerrel Pinto

    Carnegie Mellon University, United States

    8 publications · 623 citations

    8

    h-index

  5. JJ
    Jochen J. Steil

    Bielefeld University, Germany

    7 publications · 291 citations

    7

    h-index

1–5 of 1.1K

Institutions

218

  1. University of California, Berkeley

    Berkeley, United States

    18 h-index

    117 publications

    14.3K citations

  2. Google (United States)

    Mountain View, United States

    16 h-index

    132 publications

    30.4K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    10 h-index

    34 publications

    2.6K citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    10 h-index

    21 publications

    1.4K citations

  5. Imperial College London

    London, United Kingdom

    9 h-index

    19 publications

    1.7K citations

  6. National University of Singapore

    Singapore, Singapore

    9 h-index

    23 publications

    792 citations

  7. Stanford University

    Stanford, United States

    7 h-index

    60 publications

    5.6K citations

  8. Max Planck Institute for Intelligent Systems

    Stuttgart, Germany

    7 h-index

    17 publications

    864 citations

1–8 of 218

Venues

  1. arXiv (Cornell University)

    Repository · 77 publications · 4.6K citations

    31

    h-index

  2. IEEE Robotics and Automation Letters

    17 publications · 519 citations

    15

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 1.1K citations

    7

    h-index

  4. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 5 publications · 194 citations

    5

    h-index

  5. The International Journal of Robotics Research

    IJRR · 5 publications · 147 citations

    5

    h-index

1–5