An $L^2$ Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation

15 April 2021

Papers citing "An $L^2$ Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation"

6 / 6 papers shown

Title
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 40 7 0 10 Jul 2023
Reinforcement Learning with Function Approximation: From Linear to Nonlinear Jihao Long Jiequn Han 27 5 0 20 Feb 2023
Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space Jihao Long Jiequn Han 29 6 0 05 Nov 2021
Optimal policy evaluation using kernel-based temporal difference methods Yaqi Duan Mengdi Wang Martin J. Wainwright OffRL 20 26 0 24 Sep 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting Gen Li Yuxin Chen Yuejie Chi Yuantao Gu Yuting Wei OffRL 24 28 0 17 May 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 132 135 0 09 Dec 2019