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. 2010.04211
  4. Cited By
Provable Fictitious Play for General Mean-Field Games

Provable Fictitious Play for General Mean-Field Games

8 October 2020
Qiaomin Xie
Zhuoran Yang
Zhaoran Wang
Andreea Minca
ArXivPDFHTML

Papers citing "Provable Fictitious Play for General Mean-Field Games"

3 / 3 papers shown
Title
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
M. Geist
Julien Pérolat
Mathieu Laurière
Romuald Elie
Sarah Perrin
Olivier Bachem
Rémi Munos
Olivier Pietquin
37
62
0
07 Jun 2021
Scaling up Mean Field Games with Online Mirror Descent
Scaling up Mean Field Games with Online Mirror Descent
Julien Perolat
Sarah Perrin
Romuald Elie
Mathieu Laurière
Georgios Piliouras
M. Geist
K. Tuyls
Olivier Pietquin
LRM
AI4CE
61
43
0
28 Feb 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
29
50
0
22 Feb 2021
1