Adapting to Mixing Time in Stochastic Optimization with Markovian Data

9 February 2022

Papers citing "Adapting to Mixing Time in Stochastic Optimization with Markovian Data"

5 / 5 papers shown

Title
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs Swetha Ganesh Washim Uddin Mondal Vaneet Aggarwal 39 3 0 02 Apr 2024
Markov Chain Mirror Descent On Data Federation Yawei Zhao FedML 11 1 0 26 Sep 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 32 14 0 25 May 2023
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A. Suttle Amrit Singh Bedi Bhrij Patel Brian M. Sadler Alec Koppel Dinesh Manocha 8 13 0 28 Jan 2023
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs Naman Agarwal Syomantak Chaudhuri Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 28 21 0 16 Oct 2021