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Sample Complexity and Overparameterization Bounds for Temporal
  Difference Learning with Neural Network Approximation

Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation

2 March 2021
Semih Cayci
Siddhartha Satpathi
Niao He
F. I. R. Srikant
ArXivPDFHTML

Papers citing "Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation"

5 / 5 papers shown
Title
An Improved Finite-time Analysis of Temporal Difference Learning with
  Deep Neural Networks
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
Zhifa Ke
Zaiwen Wen
Junyu Zhang
29
0
0
07 May 2024
Regularized Q-Learning with Linear Function Approximation
Regularized Q-Learning with Linear Function Approximation
Jiachen Xi
Alfredo Garcia
P. Momcilovic
27
2
0
26 Jan 2024
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network
  Approach
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
27
36
0
05 Aug 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,630
0
02 Feb 2020
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
1