Optimistic Initialization

Optimistic Initialization is a reinforcement learning strategy that initializes action-value estimates at higher-than-actual values to encourage early exploration by biasing selection toward less-chosen actions.

7

Publications

180

Citations

23

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

23

  1. HL
    Haokai Li

    Tianjin University, China

    1 publications · 45 citations

    1

    h-index

  2. EE
    Eyal Even-Dar

    Tel Aviv University, Israel

    1 publications · 41 citations

    1

    h-index

  3. AZ
    Andrea Zanette

    Stanford University, United States

    1 publications · 17 citations

    1

    h-index

  4. AL
    András Lörincz

    Eötvös Loránd University, Hungary

    1 publications · 21 citations

    1

    h-index

  5. YM
    Yishay Mansour

    Tel Aviv University, Israel

    1 publications · 41 citations

    1

    h-index

1–5 of 23

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 48 citations

    3

    h-index

  2. 1

    h-index

  3. Journal of Global Optimization

    1 publications · 25 citations

    1

    h-index

  4. IEEE Transactions on Games

    TG · 1 publications · 10 citations

1–4