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Momentum Q-learning with Finite-Sample Convergence Guarantee

Momentum Q-learning with Finite-Sample Convergence Guarantee

30 July 2020
Bowen Weng
Huaqing Xiong
Linna Zhao
Yingbin Liang
Wei Zhang
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Papers citing "Momentum Q-learning with Finite-Sample Convergence Guarantee"

15 / 15 papers shown
Title
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient
  Descent
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
27
25
0
15 Jul 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and
  Variance Reduction
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li
Yuting Wei
Yuejie Chi
Yuantao Gu
Yuxin Chen
OffRL
80
116
0
04 Jun 2020
Periodic Q-Learning
Periodic Q-Learning
Dong-hwan Lee
Niao He
OOD
17
13
0
23 Feb 2020
Non-asymptotic Convergence of Adam-type Reinforcement Learning
  Algorithms under Markovian Sampling
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
Huaqing Xiong
Tengyu Xu
Yingbin Liang
Wei Zhang
35
33
0
15 Feb 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and
  $Q$-Learning
Finite-Time Analysis of Asynchronous Stochastic Approximation and QQQ-Learning
Guannan Qu
Adam Wierman
4
109
0
01 Feb 2020
A Finite-Time Analysis of Q-Learning with Neural Network Function
  Approximation
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu
Quanquan Gu
34
66
0
10 Dec 2019
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning
  Algorithms
A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms
Dong-hwan Lee
Niao He
40
28
0
04 Dec 2019
Momentum in Reinforcement Learning
Momentum in Reinforcement Learning
Nino Vieillard
B. Scherrer
Olivier Pietquin
Matthieu Geist
11
35
0
21 Oct 2019
Stochastic approximation with cone-contractive operators: Sharp
  $\ell_\infty$-bounds for $Q$-learning
Stochastic approximation with cone-contractive operators: Sharp ℓ∞\ell_\inftyℓ∞​-bounds for QQQ-learning
Martin J. Wainwright
24
105
0
15 May 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation
Finite-Sample Analysis for SARSA with Linear Function Approximation
Shaofeng Zou
Tengyu Xu
Yingbin Liang
39
147
0
06 Feb 2019
A Theoretical Analysis of Deep Q-Learning
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan
Zhuoran Yang
Yuchen Xie
Zhaoran Wang
53
601
0
01 Jan 2019
Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for
  RABBIT
Reinforcement Learning Meets Hybrid Zero Dynamics: A Case Study for RABBIT
Guillermo A. Castillo
Bowen Weng
Ayonga Hereid
Wei Zhang
6
23
0
03 Oct 2018
A Finite Time Analysis of Temporal Difference Learning With Linear
  Function Approximation
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
Jalaj Bhandari
Daniel Russo
Raghav Singal
80
336
0
06 Jun 2018
Q-learning with Nearest Neighbors
Q-learning with Nearest Neighbors
Devavrat Shah
Qiaomin Xie
OffRL
37
78
0
12 Feb 2018
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
41
12,163
0
19 Dec 2013
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