Concepedia

Game-theoretic Learning

Game-Theoretic Learning is a learning framework in multi-agent robotics that models agent interactions as strategic games, where learning algorithms incorporate game-theoretic principles to optimize decision-making in competitive or cooperative environments.

783

Publications

58.1K

Citations

1.9K

Authors

639

Institutions

Publications per year

2017–2026

320

Parents

Publications

783

Mastering the game of Go without human knowledge

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

, , +7

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

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

Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria

Ido Erev, Alvin E. Roth · American Economic Review · 1998 · 1.8K citations

, , +17

Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term

Alvin E. Roth, Ido Erev · Games and Economic Behavior · 1995 · 1.7K citations

, , +16

1–5 of 783

Authors

1.9K

  1. MB
    Michael Bowling

    University of Alberta, Canada

    10 publications · 626 citations

    10

    h-index

  2. KT
    Karl Tuyls

    Maastricht University, Netherlands

    9 publications · 720 citations

    9

    h-index

  3. HM
    Howard M. Schwartz

    Carleton University, Canada

    9 publications · 221 citations

    9

    h-index

  4. TG
    Thore Graepel

    Microsoft Research (United Kingdom), United Kingdom

    8 publications · 13.1K citations

    8

    h-index

  5. YS
    Yoav Shoham

    Stanford University, United States

    8 publications · 779 citations

    8

    h-index

1–5 of 1.9K

Institutions

639

  1. Carnegie Mellon University

    Pittsburgh, United States

    19 h-index

    61 publications

    3K citations

  2. Stanford University

    Stanford, United States

    17 h-index

    37 publications

    4.4K citations

  3. Google (United States)

    Mountain View, United States

    14 h-index

    72 publications

    6.2K citations

  4. Nanyang Technological University

    Singapore, Singapore

    13 h-index

    23 publications

    1.4K citations

  5. University of California, Berkeley

    Berkeley, United States

    13 h-index

    44 publications

    2.1K citations

  6. Massachusetts Institute of Technology

    Cambridge, United States

    12 h-index

    26 publications

    1.6K citations

  7. University of Michigan

    Ann Arbor, United States

    11 h-index

    21 publications

    566 citations

  8. Technion – Israel Institute of Technology

    Haifa, Israel

    11 h-index

    15 publications

    4K citations

1–8 of 639

Venues

  1. arXiv (Cornell University)

    Repository · 69 publications · 3K citations

    26

    h-index

  2. Games and Economic Behavior

    17 publications · 3.5K citations

    16

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 16 publications · 735 citations

    14

    h-index

  4. IEEE Transactions on Vehicular Technology

    11 publications · 655 citations

    10

    h-index

  5. IEEE Transactions on Cybernetics

    8 publications · 301 citations

    8

    h-index

1–5