Concepedia

Count-based Exploration

Count-Based Exploration is a reinforcement learning exploration strategy that belongs to the class of intrinsic motivation methods, distinguished by its reliance on visitation frequency counts to quantify state novelty and direct agent behavior toward less-explored regions of the environment.

21

Publications

2.3K

Citations

56

Authors

18

Institutions

Publications per year

2017–2026

16

Parents

Publications

21

Unifying count-based exploration and intrinsic motivation

Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski et al. · Neural Information Processing Systems · 2016 · 679 citations

, , +17

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Haoran Tang, Rein Houthooft, Davis Foote et al. · arXiv (Cornell University) · 2016 · 344 citations · Full text

, , +14

Unifying Count-Based Exploration and Intrinsic Motivation

Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski et al. · arXiv (Cornell University) · 2016 · 247 citations · Full text

, , +17

Count-Based Exploration with Neural Density Models

Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord et al. · arXiv (Cornell University) · 2017 · 227 citations · Full text

, , +16

Count-based exploration with neural density models

Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord et al. · International Conference on Machine Learning · 2017 · 165 citations

, , +16

1–5 of 21

Authors

56

  1. HL
    Honglak Lee

    University of Michigan, United States

    7 publications · 274 citations

    7

    h-index

  2. YG
    Yijie Guo

    University of Michigan, United States

    7 publications · 274 citations

    7

    h-index

  3. MG
    Marc G. Bellemare

    Google (United States), United States

    6 publications · 1.4K citations

    6

    h-index

  4. MM
    Marcin Moczulski

    University of Oxford, United Kingdom

    5 publications · 107 citations

    5

    h-index

  5. MN
    Mohammad Norouzi

    Google (United States), United States

    5 publications · 107 citations

    5

    h-index

1–5 of 56

Institutions

18

  1. Google (United States)

    Mountain View, United States

    6 h-index

    21 publications

    1.5K citations

  2. University of Michigan

    Ann Arbor, United States

    3 h-index

    5 publications

    237 citations

  3. University of California, Berkeley

    Berkeley, United States

    2 h-index

    9 publications

    2.2K citations

  4. University of Alberta

    Edmonton, Canada

    2 h-index

    2 publications

    123 citations

  5. Google DeepMind (United Kingdom)

    London, United Kingdom

    2 h-index

    12 publications

    5.6K citations

  6. Google (United Kingdom)

    London, United Kingdom

    2 h-index

    12 publications

    5.6K citations

  7. Ann Arbor Center for Independent Living

    Ann Arbor, United States

    2 h-index

    3 publications

    181 citations

  8. The Scarborough Hospital

    Toronto, Canada

    1 h-index

    1 publications

    20 citations

1–8 of 18

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 1K citations

    10

    h-index

  2. International Conference on Machine Learning

    Conference · 2 publications · 262 citations

    2

    h-index

  3. Neural Information Processing Systems

    Conference · 1 publications · 679 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 17 citations

    1

    h-index

  5. International Conference on Learning Representations

    Conference · 1 publications · 42 citations

    1

    h-index

1–5