AI takes on popular Minecraft game in machine-learning contest

被引：0
|
作者：
Jeremy Hsu
机构：
来源：
Nature | 2019年 / 575卷 / 7784期
关键词：
Computer science; Technology;
D O I：
10.1038/d41586-019-03630-0
中图分类号：
学科分类号：
摘要：
The MineRL competition encourages coders to devise programs that learn by example.
引用
收藏
页码：583 / 584
页数：1
相关论文
共 50 条
  • [1] Practical Use of Machine Learning in the Minecraft Computer Game
    Bezzubov, Sam S.
    Frolov, Aleksey A.
    [J]. PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS), 2021, : 238 - 240
  • [2] Online Game-Based Learning through Minecraft: Education Edition Programming Contest
    Klimova, Nika
    Sajben, Jakub
    Lovaszova, Gabriela
    [J]. PROCEEDINGS OF THE 2021 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON), 2021, : 1666 - 1674
  • [3] AI is a game-changing technology: how to test and robustify Machine-Learning software?
    Le Traon, Yves
    [J]. 2023 IEEE CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION, ICST, 2023, : 12 - 12
  • [4] Teaching Game AI Through Minecraft Mods
    Bayliss, Jessica D.
    [J]. 2012 IEEE INTERNATIONAL GAMES INNOVATION CONFERENCE (IGIC), 2012, : 14 - 17
  • [5] Machine-Learning of Shape Names for the Game of Go
    Ikeda, Kokolo
    Shishido, Takanari
    Viennot, Simon
    [J]. ADVANCES IN COMPUTER GAMES, ACG 2015, 2015, 9525 : 247 - 260
  • [6] Machine-learning AI enhances Permian basin drilling
    Procyk, Alex
    [J]. OIL & GAS JOURNAL, 2021, 119 (07) : 48 - 52
  • [7] Improving Automated Machine-Learning Systems through Green AI
    Castellanos-Nieves, Dagoberto
    Garcia-Forte, Luis
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (20):
  • [8] On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI
    Esmaelizadeh, Armin
    Rorseth, Joel
    Yu, Andy
    Godfrey, Parke
    Golab, Lukasz
    Srivastava, Divesh
    Szlichta, Jaroslaw
    Taghva, Kazem
    [J]. FIRST WORKSHOP ON GOVERNANCE, UNDERSTANDING, AND INTEGRATION OF DATA FOR EFFECTIVE AND RESPONSIBLE AI, GUIDE-AI 2024, 2024, : 50 - 53
  • [9] The battle for ethical AI at the world’s biggest machine-learning conference
    Elizabeth Gibney
    [J]. Nature, 2020, 577 (7792) : 609 - 609
  • [10] AI Wolf Contest - Development of Game AI Using Collective Intelligence
    Toriumi, Fujio
    Osawa, Hirotaka
    Inaba, Michimasa
    Katagami, Daisuke
    Shinoda, Kosuke
    Matsubara, Hitoshi
    [J]. COMPUTER GAMES: 5TH WORKSHOP ON COMPUTER GAMES, CGW 2016, AND 5TH WORKSHOP ON GENERAL INTELLIGENCE IN GAME-PLAYING AGENTS, GIGA 2016, HELD IN CONJUNCTION WITH THE 25TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2016, NEW YORK, USA, JULY 9-10, 2016, 2017, 705 : 101 - 115
12345