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 $ε$ -Greedy Exploration

24 October 2023

Shuai Zhang

Subhajit Chaudhury

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

12 / 12 papers shown

Title
Approximation to Deep Q-Network by Stochastic Delay Differential Equations Jianya Lu Yingjun Mo 33 0 0 01 May 2025
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 56 7 0 19 Sep 2024
Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy Xumeng Wang Shuangcheng Jiao Chris Bryan AAML 27 0 0 28 Jul 2024
LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang Yun Qu Yuhang Jiang Jianzhun Shao Chang-rui Liu Wenming Yang Xiangyang Ji 40 7 0 18 Jul 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding Hongkang Li Meng Wang Tengfei Ma Sijia Liu Zaixi Zhang Pin-Yu Chen MLT AI4CE 50 10 0 04 Jun 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts Mohammed Nowaz Rabbani Chowdhury Meng Wang Kaoutar El Maghraoui Naigang Wang Pin-Yu Chen Christopher Carothers MoE 36 4 0 26 May 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning Shuai Zhang Heshan Devaka Fernando Miao Liu K. Murugesan Songtao Lu Pin-Yu Chen Tianyi Chen Meng Wang 52 1 0 24 May 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 41 4 0 12 Mar 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? Hongkang Li Meng Wang Songtao Lu Xiaodong Cui Pin-Yu Chen MLT 42 14 0 23 Feb 2024
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing Zhengming Zhang Yongming Huang Cheng Zhang Qingbi Zheng Luxi Yang Xiaohu You 24 12 0 28 Nov 2023
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 49 10 0 03 Aug 2023
Understanding Deep Neural Function Approximation in Reinforcement Learning via $ε$ -Greedy Exploration Fanghui Liu Luca Viano V. Cevher 36 16 0 15 Sep 2022