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The ODE Method for Asymptotic Statistics in Stochastic Approximation and
  Reinforcement Learning

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning

27 October 2021
Vivek Borkar
Shuhang Chen
Adithya M. Devraj
Ioannis Kontoyiannis
Sean P. Meyn
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Papers citing "The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning"

4 / 4 papers shown
Title
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
R. Srikant
46
5
0
28 Jan 2024
Stability of Q-Learning Through Design and Optimism
Stability of Q-Learning Through Design and Optimism
Sean P. Meyn
31
10
0
05 Jul 2023
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
31
6
0
15 Sep 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
Xiang Li
Wenhao Yang
Jiadong Liang
Zhihua Zhang
Michael I. Jordan
40
15
0
29 Dec 2021
1