ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.04748
  4. Cited By
Online Optimization in Games via Control Theory: Connecting Regret,
  Passivity and Poincaré Recurrence
v1v2 (latest)

Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence

9 June 2021
Yun Kuen Cheung
Georgios Piliouras
ArXiv (abs)PDFHTML

Papers citing "Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence"

3 / 3 papers shown
Title
Higher-Order Uncoupled Learning Dynamics and Nash Equilibrium
Higher-Order Uncoupled Learning Dynamics and Nash Equilibrium
Sarah A. Toonsi
Jeff S. Shamma
110
0
0
12 Jun 2025
Smooth Quadratic Prediction Markets
Smooth Quadratic Prediction Markets
Enrique Nueve
Bo Waggoner
64
0
0
05 May 2025
Evolutionary Dynamics and $Φ$-Regret Minimization in Games
Evolutionary Dynamics and ΦΦΦ-Regret Minimization in Games
Georgios Piliouras
Mark Rowland
Shayegan Omidshafiei
Romuald Elie
Daniel Hennes
Jerome T. Connor
K. Tuyls
56
2
0
28 Jun 2021
1