Experience Replay

Experience Replay is a continual learning mechanism that stores and revisits past data samples or experiences during subsequent learning phases to mitigate catastrophic forgetting by interleaving historical data into current training processes.

493

Publications

38.1K

Citations

1.6K

Authors

515

Institutions

Publications per year

2017–2026

455

Authors

1.6K

  1. DZ
    Dongbin Zhao

    Chinese Academy of Sciences, China

    6 publications · 795 citations

    6

    h-index

  2. TY
    Tao Yu

    South China University of Technology, China

    6 publications · 304 citations

    6

    h-index

  3. JL
    Jiawen Li

    South China University of Technology, China

    6 publications · 304 citations

    6

    h-index

  4. FL
    Frank L. Lewis

    The University of Texas at Arlington, United States

    6 publications · 1.4K citations

    6

    h-index

  5. PH
    Philip H. S. Torr

    University of Oxford, United Kingdom

    6 publications · 1.2K citations

    6

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 73 publications · 8.8K citations

    37

    h-index

  2. IEEE Access

    24 publications · 1.1K citations

    19

    h-index

  3. 15

    h-index

  4. IEEE Transactions on Cybernetics

    13 publications · 1.1K citations

    13

    h-index

  5. Sensors

    11 publications · 294 citations

    11

    h-index

1–5