Reinforcement Learning with Function Approximation: From Linear to Nonlinear

20 February 2023

Papers citing "Reinforcement Learning with Function Approximation: From Linear to Nonlinear"

4 / 4 papers shown

Title
$The $L^\infty$ Learnability of Reproducing Kernel Hilbert Spaces$ The $L^\infty$ Learnability of Reproducing Kernel Hilbert Spaces Hongrui Chen Jihao Long Lei Wu 11 0 0 05 Jun 2023
$Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields$ Toward $L_\infty$ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields Kefan Dong Tengyu Ma 35 4 0 29 Apr 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan A. H. Sayed 35 1 0 19 Apr 2023
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 132 135 0 09 Dec 2019