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Kernel-Based Reinforcement Learning: A Finite-Time Analysis

12 April 2020

Pierre Ménard

Papers citing "Kernel-Based Reinforcement Learning: A Finite-Time Analysis"

23 / 23 papers shown

Title
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces Ahmed Touati Adrien Ali Taïga Marc G. Bellemare 52 19 0 09 Mar 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 72 299 0 14 Feb 2020
On Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury Aditya Gopalan OffRL 65 48 0 04 Nov 2019
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration Andrea Zanette David Brandfonbrener Emma Brunskill Matteo Pirotta A. Lazaric 118 132 0 01 Nov 2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 49 39 0 17 Oct 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 109 560 0 11 Jul 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 107 68 0 27 May 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 79 288 0 24 May 2019
Learning to Control in Metric Space with Optimal Regret Lin F. Yang Chengzhuo Ni Mengdi Wang 58 29 0 05 May 2019
Efficient Model-free Reinforcement Learning in Metric Spaces Zhao Song Wen Sun OffRL 54 39 0 01 May 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 120 276 0 01 Jan 2019
Is Q-learning Provably Efficient? Chi Jin Zeyuan Allen-Zhu Sébastien Bubeck Michael I. Jordan OffRL 81 812 0 10 Jul 2018
Exploration in Structured Reinforcement Learning Jungseul Ok Alexandre Proutiere Damianos Tranos 178 64 0 03 Jun 2018
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates Henry W. J. Reeve J. Mellor Gavin Brown 58 28 0 01 Mar 2018
Minimal Exploration in Structured Stochastic Bandits Richard Combes Stefan Magureanu Alexandre Proutiere 440 119 0 01 Nov 2017
Minimax Regret Bounds for Reinforcement Learning M. G. Azar Ian Osband Rémi Munos 95 778 0 16 Mar 2017
Practical Kernel-Based Reinforcement Learning André Barreto Doina Precup Joelle Pineau OffRL 80 44 0 21 Jul 2014
Model-based Reinforcement Learning and the Eluder Dimension Ian Osband Benjamin Van Roy 92 190 0 07 Jun 2014
The Sample-Complexity of General Reinforcement Learning Tor Lattimore Marcus Hutter P. Sunehag VLM 97 67 0 22 Aug 2013
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 144 535 0 04 Jun 2013
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning R. Ortner D. Ryabko OffRL 102 85 0 11 Feb 2013
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension Lee-Ad Gottlieb A. Kontorovich Robert Krauthgamer 111 54 0 18 Nov 2011
Contextual Bandits with Similarity Information Aleksandrs Slivkins 486 450 0 23 Jul 2009