Concepedia

Dynamics Model Learning

Dynamics Model Learning is a methodological framework within self-supervised robot learning that entails the acquisition of a predictive model of a system's temporal evolution by identifying the underlying transition rules that govern how states change in response to actions, distinguished from other modeling approaches by its focus on capturing the intrinsic physical or abstract dynamics without reliance on external supervision.

166

Publications

8.8K

Citations

509

Authors

162

Institutions

Publications per year

2017–2026

116

Parents

Publications

166

Model-based Reinforcement Learning: A Survey

Thomas M. Moerland, Joost Broekens, Aske Plaat et al. · Foundations and Trends® in Machine Learning · 2023 · 485 citations · Full text

, , +15

Information theoretic MPC for model-based reinforcement learning

Grady Williams, Nolan Wagener, Brian Goldfain et al. · 2017 · 446 citations

, , +15

DeepMPC: Learning Deep Latent Features for Model Predictive Control

Ian Lenz, Ross A. Knepper, Ashutosh Saxena · 2015 · 344 citations · Full text

, , +12

Learning to Adapt in Dynamic, Real-World Environments Through\n Meta-Reinforcement Learning

Anusha Nagabandi, Ignasi Clavera, Simin Liu et al. · arXiv (Cornell University) · 2018 · 300 citations · Full text

, , +17

Neural Relational Inference for Interacting Systems

Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang et al. · UvA-DARE (University of Amsterdam) · 2018 · 284 citations · Full text

, , +15

1–5 of 166

Authors

509

  1. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    12 publications · 1.3K citations

    11

    h-index

  2. JW
    Jiajun Wu

    Massachusetts Institute of Technology, United States

    10 publications · 559 citations

    10

    h-index

  3. SL
    Sergey Levine

    University of California, Berkeley, United States

    10 publications · 1.2K citations

    10

    h-index

  4. JB
    Joshua B. Tenenbaum

    Massachusetts Institute of Technology, United States

    8 publications · 438 citations

    8

    h-index

  5. JP
    Jan Peters

    Technische Universität Darmstadt, Germany

    6 publications · 352 citations

    6

    h-index

1–5 of 509

Institutions

162

  1. University of California, Berkeley

    Berkeley, United States

    14 h-index

    49 publications

    4.1K citations

  2. Stanford University

    Stanford, United States

    9 h-index

    27 publications

    1.4K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    14 publications

    426 citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    7 h-index

    29 publications

    1.9K citations

  5. Meta (Israel)

    Tel Aviv, Israel

    5 h-index

    12 publications

    229 citations

  6. University of Washington

    Seattle, United States

    5 h-index

    6 publications

    179 citations

  7. Google (United States)

    Mountain View, United States

    4 h-index

    6 publications

    107 citations

  8. Georgia Institute of Technology

    Atlanta, United States

    4 h-index

    14 publications

    3.2K citations

1–8 of 162

Venues

  1. arXiv (Cornell University)

    Repository · 59 publications · 2.9K citations

    28

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 269 citations

    4

    h-index

  3. 2

    h-index

  4. Neural Information Processing Systems

    Conference · 2 publications · 329 citations

    2

    h-index

  5. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 2 publications · 52 citations

    2

    h-index

1–5