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Linear Last-iterate Convergence in Constrained Saddle-point Optimization

Linear Last-iterate Convergence in Constrained Saddle-point Optimization

16 June 2020
Chen-Yu Wei
Chung-Wei Lee
Mengxiao Zhang
Haipeng Luo
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Papers citing "Linear Last-iterate Convergence in Constrained Saddle-point Optimization"

5 / 5 papers shown
Title
Learning Markov Games with Adversarial Opponents: Efficient Algorithms
  and Fundamental Limits
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
Qinghua Liu
Yuanhao Wang
Chi Jin
AAML
18
15
0
14 Mar 2022
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max
  Optimization
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li
Yi Tian
Jingzhao Zhang
Ali Jadbabaie
22
40
0
18 Apr 2021
Last-iterate Convergence of Decentralized Optimistic Gradient
  Descent/Ascent in Infinite-horizon Competitive Markov Games
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
Chen-Yu Wei
Chung-Wei Lee
Mengxiao Zhang
Haipeng Luo
11
82
0
08 Feb 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Qinghua Liu
Tiancheng Yu
Yu Bai
Chi Jin
24
121
0
04 Oct 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
133
1,198
0
16 Aug 2016
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