ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.05477
  4. Cited By
Exponential Convergence of Gradient Methods in Concave Network Zero-sum
  Games

Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games

10 July 2020
Amit Kadan
Hu Fu
ArXiv (abs)PDFHTML

Papers citing "Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games"

4 / 4 papers shown
Stability of Multi-Agent Learning in Competitive Networks: Delaying the
  Onset of Chaos
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
A. Hussain
Francesco Belardinelli
228
4
0
19 Dec 2023
Stability of Multi-Agent Learning: Convergence in Network Games with
  Many Players
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players
A. Hussain
D. Leonte
Francesco Belardinelli
Georgios Piliouras
MLT
244
1
0
26 Jul 2023
Asymptotic Convergence and Performance of Multi-Agent Q-Learning
  Dynamics
Asymptotic Convergence and Performance of Multi-Agent Q-Learning DynamicsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
A. Hussain
Francesco Belardinelli
Georgios Piliouras
270
16
0
23 Jan 2023
Continuous-Time Convergence Rates in Potential and Monotone Games
Continuous-Time Convergence Rates in Potential and Monotone GamesSIAM Journal of Control and Optimization (SICON), 2020
Bolin Gao
Lacra Pavel
360
10
0
21 Nov 2020
1
Page 1 of 1