Co-occurring keywords · papers mentioning both
Papers
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
NeurIPS 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
ICML 2023
The Power of Regularization in Solving Extensive-Form Games
ICLR 2023
Towards convergence to Nash equilibria in two-team zero-sum games
ICLR 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
NeurIPS 2023
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
NeurIPS 2022
Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
AISTATS 2022
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
NeurIPS 2022
On Last-Iterate Convergence Beyond Zero-Sum Games
ICML 2022
On the Last Iterate Convergence of Momentum Methods
ALT 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 2022
Last-iterate Convergence in Extensive-Form Games
NeurIPS 2021
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
AISTATS 2021
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
COLT 2021
Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization
ALT 2021
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
ICLR 2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
NeurIPS 2021
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
ICML 2020
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems
COLT 2020
Tight last-iterate convergence rates for no-regret learning in multi-player games
NeurIPS 2020
Making the Last Iterate of SGD Information Theoretically Optimal
COLT 2019