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Adaptive Temporal Difference Learning with Linear Function Approximation
v1v2 (latest)

Adaptive Temporal Difference Learning with Linear Function Approximation

20 February 2020
Tao Sun
Han Shen
Tianyi Chen
Dongsheng Li
ArXiv (abs)PDFHTML

Papers citing "Adaptive Temporal Difference Learning with Linear Function Approximation"

9 / 9 papers shown
Title
Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
Yanjie Dong
Haijun Zhang
Gang Wang
Shisheng Cui
Xiping Hu
153
1
0
13 Aug 2024
n-Step Temporal Difference Learning with Optimal n
n-Step Temporal Difference Learning with Optimal n
Lakshmi Mandal
S. Bhatnagar
66
2
0
13 Mar 2023
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
122
4
0
22 Mar 2022
Provably Efficient Convergence of Primal-Dual Actor-Critic with
  Nonlinear Function Approximation
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation
Jing Dong
Li Shen
Ying Xu
Baoxiang Wang
88
1
0
28 Feb 2022
Differentially Private Temporal Difference Learning with Stochastic
  Nonconvex-Strongly-Concave Optimization
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
94
4
0
25 Jan 2022
Correcting Momentum in Temporal Difference Learning
Correcting Momentum in Temporal Difference Learning
Emmanuel Bengio
Joelle Pineau
Doina Precup
61
10
0
07 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
  Perspective
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
86
56
0
11 May 2021
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
Joshua Romoff
Peter Henderson
David Kanaa
Emmanuel Bengio
Ahmed Touati
Pierre-Luc Bacon
Joelle Pineau
60
3
0
06 Jul 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
79
33
0
15 Feb 2020
1