• Home
  • About
  • A Brief History of AI
  • AI-Alerts
  • AI Magazine
  • AAAI Conferences
  • NeurIPS
  • Books
  • Classics

Fast Convergence of Regularized Learning in Games

Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, Robert E. Schapire

Oct-2-2025, 09:34:09 GMT–Neural Information Processing Systems 

Neural Information Processing Systems http://nips.cc/

  algorithm, convergence, rvu property, (14 more...)

Neural Information Processing Systems

Oct-2-2025, 09:34:09 GMT

Conferences    PDF

Add feedback

  • Country:
    • Europe > United Kingdom
      • England > Cambridgeshire > Cambridge (0.04)
    • North America > United States
      • New Jersey > Mercer County
        • Princeton (0.04)
      • New York > New York County
        • New York City (0.05)
  • Industry:
    • Leisure & Entertainment > Games (0.68)
  • Technology:
    • Information Technology
      • Artificial Intelligence > Machine Learning (0.89)
      • Game Theory (1.00)
      • Mathematics of Computing (0.82)

  • By text
  • By views
  • By concept tags

Duplicate Docs Excel Report

Title
Fast Convergence of Regularized Learning in Games
Fast Convergence of Regularized Learning in Games Alekh Agarwal Microsoft Research Microsoft Research New York, NY Robert E. Schapire Princeton University Microsoft Research Princeton, NJ

Similar Docs  Excel Report  more

TitleSimilaritySource
None found

Site Feedback

© 2026, i2k Connect Inc  ·  All Rights Reserved.
Privacy policy  ·  Terms of use  ·  License  ·  Legal Notices
This is i2kweb version 7.1.0-SNAPSHOT. Logged in as aitopics-guest for 60 more minutes (idle timeout).

Site Feedback

powered by
i2k Connect

aitopics.org uses cookies to deliver the best possible experience. By continuing to use this site, you consent to the use of cookies. Learn more ยป

Add feedback

Send feedback to help us improve this new enhanced search experience.

Thank You!