Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm

30 October 2024

Papers citing "Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm"

16 / 16 papers shown

Title
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework Joongkyu Lee Min-hwan Oh 53 2 0 31 Oct 2024
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning Sattar Vakili OffRL 40 1 0 21 Jun 2024
Kernelized Reinforcement Learning with Order Optimal Regret Bounds Sattar Vakili Julia Olkhovskaya 47 9 0 13 Jun 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 66 4 0 01 Feb 2023
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco 48 14 0 30 Jan 2022
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 73 54 0 20 Aug 2021
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation Yue Wu Dongruo Zhou Quanquan Gu 41 21 0 15 Feb 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia Sattar Vakili Qing Zhao 68 34 0 27 Oct 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 52 133 0 15 Sep 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 59 139 0 04 Jul 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 55 135 0 23 Jun 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 168 136 0 09 Dec 2019
On Batch Bayesian Optimization Sayak Ray Chowdhury Aditya Gopalan 39 10 0 04 Nov 2019
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes Chen-Yu Wei Mehdi Jafarnia-Jahromi Haipeng Luo Hiteshi Sharma R. Jain 121 105 0 15 Oct 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 86 556 0 11 Jul 2019
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 180 273 0 26 Sep 2013