Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning

15 November 2020

Papers citing "Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning"

7 / 7 papers shown

Title
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 28 20 0 16 Oct 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 49 2 0 05 Jun 2023
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey Aleksandr Beznosikov Boris Polyak Eduard A. Gorbunov D. Kovalev Alexander Gasnikov 44 31 0 29 Aug 2022
Accelerated and instance-optimal policy evaluation with linear function approximation Tianjiao Li Guanghui Lan A. Pananjady OffRL 44 13 0 24 Dec 2021
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method Ziwei Guan Tengyu Xu Yingbin Liang 26 4 0 13 Oct 2021
Cyclic Coordinate Dual Averaging with Extrapolation Chaobing Song Jelena Diakonikolas 32 6 0 26 Feb 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 102 137 0 30 Jan 2021