Understanding Deep Neural Function Approximation in Reinforcement Learning via $ε$ -Greedy Exploration

15 September 2022

Papers citing "Understanding Deep Neural Function Approximation in Reinforcement Learning via $ε$-Greedy Exploration"

5 / 5 papers shown

Title
Approximation to Deep Q-Network by Stochastic Delay Differential Equations Jianya Lu Yingjun Mo 21 0 0 01 May 2025
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs Naman Agarwal Syomantak Chaudhuri Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 28 21 0 16 Oct 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang Kaixuan Huang Sham Kakade Jason D. Lee Qi Lei Runzhe Wang Jiaqi Yang 30 8 0 14 Jul 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 121 135 0 09 Dec 2019
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 551 0 27 Feb 2015