Co-occurring keywords · papers mentioning both
Papers
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
NeurIPS 2024
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
ICLR 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
NeurIPS 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
NeurIPS 2023
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NeurIPS 2022
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
COLT 2021
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
ICLR 2019
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
NeurIPS 2018