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On the Convergence and Sample Complexity Analysis of Deep Q-Networks
  with $ε$-Greedy Exploration

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with εεε-Greedy Exploration

24 October 2023
Shuai Zhang
Hongkang Li
Meng Wang
Miao Liu
Pin-Yu Chen
Songtao Lu
Sijia Liu
K. Murugesan
Subhajit Chaudhury
ArXivPDFHTML

Papers citing "On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $ε$-Greedy Exploration"

4 / 4 papers shown
Title
Approximation to Deep Q-Network by Stochastic Delay Differential Equations
Approximation to Deep Q-Network by Stochastic Delay Differential Equations
Jianya Lu
Yingjun Mo
16
0
0
01 May 2025
The Central Role of the Loss Function in Reinforcement Learning
The Central Role of the Loss Function in Reinforcement Learning
Kaiwen Wang
Nathan Kallus
Wen Sun
OffRL
21
7
0
19 Sep 2024
Digital Twin-Enhanced Deep Reinforcement Learning for Resource
  Management in Networks Slicing
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing
Zhengming Zhang
Yongming Huang
Cheng Zhang
Qingbi Zheng
Luxi Yang
Xiaohu You
8
12
0
28 Nov 2023
Understanding Deep Neural Function Approximation in Reinforcement
  Learning via $ε$-Greedy Exploration
Understanding Deep Neural Function Approximation in Reinforcement Learning via εεε-Greedy Exploration
Fanghui Liu
Luca Viano
V. Cevher
16
11
0
15 Sep 2022
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