Concepedia

Learning In Games

Learning in Games is a theoretical framework in Algorithmic Game Theory that models how rational agents adapt their strategies over time through repeated interactions, distinguished from static equilibrium analysis by its focus on dynamic, experience-based strategy evolution.

1.4K

Publications

118.9K

Citations

2.5K

Authors

896

Institutions

Publications per year

2017–2026

328

Parents

Publications

1.4K

Mastering the game of Go without human knowledge

David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9.2K citations

, , +7

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · 2016 · 6K citations · Full text

, , +11

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

David Silver, Thomas Hubert, Julian Schrittwieser et al. · Science · 2018 · 3.5K citations · Full text

, , +13

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · Proceedings of the AAAI Conference on Artificial Intelligence · 2016 · 3.5K citations · Full text

, , +11

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Oriol Vinyals, I. Babuschkin, Wojciech Marian Czarnecki et al. · Nature · 2019 · 3.4K citations

, , +16

1–5 of 1.4K

Authors

2.5K

  1. KT
    Karl Tuyls

    Maastricht University, Netherlands

    18 publications · 992 citations

    16

    h-index

  2. DF
    Drew Fudenberg

    Harvard University, United States

    23 publications · 1.6K citations

    16

    h-index

  3. MB
    Michael Bowling

    University of Alberta, Canada

    16 publications · 2.1K citations

    15

    h-index

  4. TH
    Teck‐Hua Ho

    University of California, Berkeley, United States

    15 publications · 1.1K citations

    13

    h-index

  5. JS
    Jeff S. Shamma

    Georgia Institute of Technology, United States

    15 publications · 1K citations

    12

    h-index

1–5 of 2.5K

Institutions

896

  1. Carnegie Mellon University

    Pittsburgh, United States

    23 h-index

    77 publications

    5.4K citations

  2. Stanford University

    Stanford, United States

    20 h-index

    43 publications

    4.7K citations

  3. Harvard University

    Cambridge, United States

    20 h-index

    35 publications

    2.2K citations

  4. Google (United States)

    Mountain View, United States

    19 h-index

    71 publications

    40K citations

  5. The University of Texas at Austin

    Austin, United States

    19 h-index

    52 publications

    1.7K citations

  6. University of California, Los Angeles

    Los Angeles, United States

    18 h-index

    24 publications

    2.8K citations

  7. University of Pennsylvania

    Philadelphia, United States

    18 h-index

    34 publications

    2.7K citations

  8. University of Alberta

    Edmonton, Canada

    18 h-index

    49 publications

    9.8K citations

1–8 of 896

Venues

  1. Games and Economic Behavior

    69 publications · 7.4K citations

    36

    h-index

  2. Econometrica

    27 publications · 11.3K citations

    25

    h-index

  3. arXiv (Cornell University)

    Repository · 65 publications · 6.1K citations

    23

    h-index

  4. Journal of Economic Theory

    JET · 27 publications · 1.7K citations

    21

    h-index

  5. SSRN Electronic Journal

    Repository · 36 publications · 950 citations

    17

    h-index

1–5