Non-asymptotic Convergence of Adam-type Reinforcement Learning
Algorithms under Markovian Sampling

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling

15 February 2020

Wei Zhang

Papers citing "Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling"

5 / 5 papers shown

Title
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning Sihan Zeng Thinh T. Doan 51 5 0 15 May 2024
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh J. Gardner Adji Bousso Dieng Hongseok Kim BDL 24 8 0 13 Jun 2022
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 27 165 0 08 Dec 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 34 121 0 11 Nov 2020
Sample Efficient Reinforcement Learning with REINFORCE Junzi Zhang Jongho Kim Brendan O'Donoghue Stephen P. Boyd 35 99 0 22 Oct 2020