Kernelized Reinforcement Learning with Order Optimal Regret Bounds

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Kernelized Reinforcement Learning with Order Optimal Regret Bounds

13 June 2023

Julia Olkhovskaya

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

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Title
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization Shogo Iwazaki GP 56 0 0 02 Jun 2025
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context F. Micheli Efe C. Balta Anastasios Tsiamis John Lygeros 85 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 91 0 0 31 Oct 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm Sattar Vakili Julia Olkhovskaya 55 0 0 30 Oct 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 114 1 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 60 3 0 10 May 2024
Tighter Confidence Bounds for Sequential Kernel Regression H. Flynn David Reeb 53 3 0 19 Mar 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 62 4 0 06 Feb 2024
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 96 11 0 03 Aug 2023