Concepedia

Offline Model-based Reinforcement Learning

Offline Model-Based Reinforcement Learning is a model-based reinforcement learning paradigm that leverages pre-collected, static datasets to learn environment dynamics and policies without online environment interaction.

34

Publications

1.5K

Citations

116

Authors

52

Institutions

Publications per year

2017–2026

33

Parents

Publications

34

MOPO: Model-based Offline Policy Optimization

Tianhe Yu, Garrett Thomas, Lantao Yu et al. · arXiv (Cornell University) · 2020 · 217 citations · Full text

, , +15

MOReL : Model-Based Offline Reinforcement Learning

Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al. · arXiv (Cornell University) · 2020 · 158 citations · Full text

, , +9

Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management

Silvio Brandi, Massimo Fiorentini, Alfonso Capozzoli · Automation in Construction · 2022 · 99 citations · Full text

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An Optimistic Perspective on Offline Deep Reinforcement Learning

Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi · International Conference on Machine Learning · 2020 · 95 citations

, , +12

Data-driven energy management for electric vehicles using offline reinforcement learning

Yong Wang, Jingda Wu, Hongwen He et al. · Nature Communications · 2025 · 68 citations · Full text

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1–5 of 34

Authors

116

  1. TY
    Tianhe Yu

    Stanford University, United States

    4 publications · 322 citations

    4

    h-index

  2. AR
    Aravind Rajeswaran

    University of Washington, United States

    4 publications · 244 citations

    4

    h-index

  3. SL
    Sergey Levine

    University of California, Berkeley, United States

    4 publications · 323 citations

    4

    h-index

  4. CF
    Chelsea Finn

    University of California, Berkeley, United States

    4 publications · 322 citations

    4

    h-index

  5. HH
    Hongwen He

    Beijing Institute of Technology, China

    3 publications · 122 citations

    3

    h-index

1–5 of 116

Institutions

52

  1. Cornell University

    Ithaca, United States

    3 h-index

    4 publications

    77 citations

  2. Beijing Institute of Technology

    Beijing, China

    3 h-index

    15 publications

    610 citations

  3. University of California, Berkeley

    Berkeley, United States

    3 h-index

    5 publications

    175 citations

  4. Google (United States)

    Mountain View, United States

    3 h-index

    6 publications

    324 citations

  5. Xidian University

    Xi'an, China

    2 h-index

    3 publications

    146 citations

  6. Stanford University

    Stanford, United States

    2 h-index

    10 publications

    415 citations

  7. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    2 h-index

    2 publications

    42 citations

  8. University of Washington

    Seattle, United States

    2 h-index

    2 publications

    70 citations

1–8 of 52

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 591 citations

    11

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 74 citations

    2

    h-index

  3. Energy

    2 publications · 52 citations

    2

    h-index

  4. Journal of Energy Storage

    1 publications · 32 citations

    1

    h-index

  5. IFAC-PapersOnLine

    1 publications · 24 citations

    1

    h-index

1–5