Concepedia

Deep Imitation Learning

Deep Imitation Learning is a machine learning framework within the broader domain of Imitation Learning that leverages deep neural networks to map high-dimensional sensory inputs to actions by learning policies directly from expert demonstrations.

175

Publications

12.5K

Citations

662

Authors

198

Institutions

Publications per year

2017–2026

171

Parents

Publications

175

End-to-end driving via conditional imitation learning

Felipe Codevilla, Antonio M. López, Vladlen Koltun et al. · Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) · 1.1K citations · Full text

, , +13

DeepMimic

Xue Bin Peng, Pieter Abbeel, Sergey Levine et al. · ACM Transactions on Graphics · 2018 · 803 citations · Full text

, , +11

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

2020 · 679 citations · Full text

, , +16

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Tianhao Zhang, Zoe McCarthy, Owen Jow et al. · 2018 · 591 citations

, , +17

Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing

Jānis Ārents, Modris Greitāns · Applied Sciences · 2022 · 294 citations · Full text

, , +17

1–5 of 175

Authors

662

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    8 publications · 1.7K citations

    8

    h-index

  2. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    8 publications · 2K citations

    8

    h-index

  3. KG
    Ken Goldberg

    University of California, Berkeley, United States

    6 publications · 802 citations

    6

    h-index

  4. ML
    Ming Liu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 292 citations

    5

    h-index

  5. BB
    Byron Boots

    Georgia Institute of Technology, United States

    5 publications · 522 citations

    5

    h-index

1–5 of 662

Institutions

198

  1. University of California, Berkeley

    Berkeley, United States

    8 h-index

    36 publications

    6.7K citations

  2. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    7 h-index

    26 publications

    1.3K citations

  3. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    22 publications

    1.1K citations

  4. The University of Tokyo

    Tokyo, Japan

    5 h-index

    13 publications

    434 citations

  5. Georgia Institute of Technology

    Atlanta, United States

    5 h-index

    14 publications

    1.4K citations

  6. Google (United States)

    Mountain View, United States

    4 h-index

    11 publications

    640 citations

  7. Beijing Academy of Artificial Intelligence

    Beijing, China

    4 h-index

    14 publications

    915 citations

  8. University of Chinese Academy of Sciences

    Beijing, China

    4 h-index

    14 publications

    915 citations

1–8 of 198

Venues

  1. arXiv (Cornell University)

    Repository · 35 publications · 1.5K citations

    19

    h-index

  2. IEEE Robotics and Automation Letters

    10 publications · 504 citations

    10

    h-index

  3. ACM Transactions on Graphics

    TOG · 5 publications · 1.3K citations

    5

    h-index

  4. IEEE Access

    5 publications · 147 citations

    5

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 281 citations

    4

    h-index

1–5