Provably Efficient Kernelized Q-Learning

21 April 2022

Papers citing "Provably Efficient Kernelized Q-Learning"

5 / 5 papers shown

Title
Tighter Confidence Bounds for Sequential Kernel Regression H. Flynn David Reeb 28 3 0 19 Mar 2024
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 16 1 0 21 Feb 2023
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char W. Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 37 6 0 19 Dec 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning Andrea Zanette Martin J. Wainwright OOD 34 5 0 01 Jun 2022
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 129 135 0 09 Dec 2019