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2011.08434
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Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
SIAM Journal on Optimization (SIOPT), 2020
15 November 2020
Georgios Kotsalis
Guanghui Lan
Tianjiao Li
OffRL
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Papers citing
"Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning"
19 / 19 papers shown
Auto-conditioned primal-dual hybrid gradient method and alternating direction method of multipliers
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A simple uniformly optimal method without line search for convex optimization
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16 Oct 2023
First-order Policy Optimization for Robust Policy Evaluation
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207
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29 Jul 2023
Accelerated stochastic approximation with state-dependent noise
Mathematical programming (Math. Program.), 2023
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Tianjiao Li
420
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04 Jul 2023
Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation
Yong Cai
Michael I. Jordan
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Argyris Oikonomou
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29 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games
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05 Jun 2023
Policy Mirror Descent Inherently Explores Action Space
SIAM Journal on Optimization (SIOPT), 2023
Yan Li
Guanghui Lan
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398
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08 Mar 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
International Conference on Machine Learning (ICML), 2022
Batuhan Yardim
Semih Cayci
Matthieu Geist
Niao He
407
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29 Dec 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
European Mathematical Society Magazine (EMS Magazine), 2022
Aleksandr Beznosikov
Boris Polyak
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Alexander Gasnikov
408
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29 Aug 2022
Stochastic first-order methods for average-reward Markov decision processes
Mathematics of Operations Research (MOR), 2022
Tianjiao Li
Feiyang Wu
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589
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11 May 2022
Data Sampling Affects the Complexity of Online SGD over Dependent Data
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Shaocong Ma
Ziyi Chen
Yi Zhou
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339
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31 Mar 2022
Optimal variance-reduced stochastic approximation in Banach spaces
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K. Khamaru
Martin J. Wainwright
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292
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Block Policy Mirror Descent
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Yan Li
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325
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15 Jan 2022
Accelerated and instance-optimal policy evaluation with linear function approximation
SIAM Journal on Mathematics of Data Science (SIMODS), 2021
Tianjiao Li
Guanghui Lan
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259
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24 Dec 2021
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
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Tengyu Xu
Yingbin Liang
250
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13 Oct 2021
Cyclic Coordinate Dual Averaging with Extrapolation
SIAM Journal on Optimization (SIAM J. Optim.), 2021
Chaobing Song
Jelena Diakonikolas
454
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26 Feb 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Mathematical programming (Math. Program.), 2021
Guanghui Lan
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176
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30 Jan 2021
1
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