Kernelized Reinforcement Learning with Order Optimal Regret Bounds

13 June 2023

Papers citing "Kernelized Reinforcement Learning with Order Optimal Regret Bounds"

10 / 10 papers shown

Title
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context F. Micheli Efe C. Balta Anastasios Tsiamis John Lygeros 56 0 0 26 Mar 2025
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 39 0 0 31 Oct 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm Sattar Vakili Julia Olkhovskaya 31 0 0 30 Oct 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 42 3 0 10 May 2024
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning Chandrajit L. Bajaj Minh Nguyen 25 0 0 24 Apr 2024
Tighter Confidence Bounds for Sequential Kernel Regression H. Flynn David Reeb 36 3 0 19 Mar 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 36 5 0 06 Feb 2024
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 59 11 0 03 Aug 2023
Gaussian Process Bandit Optimization with Few Batches Zihan Li Jonathan Scarlett GP 131 47 0 15 Oct 2021