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Kernel-Based Reinforcement Learning: A Finite-Time Analysis

Kernel-Based Reinforcement Learning: A Finite-Time Analysis

12 April 2020
O. D. Domingues
Pierre Ménard
Matteo Pirotta
E. Kaufmann
Michal Valko
ArXivPDFHTML

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
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
Ahmed Touati
Adrien Ali Taïga
Marc G. Bellemare
44
19
0
09 Mar 2020
Never Give Up: Learning Directed Exploration Strategies
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
70
298
0
14 Feb 2020
On Online Learning in Kernelized Markov Decision Processes
On Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury
Aditya Gopalan
OffRL
37
48
0
04 Nov 2019
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Andrea Zanette
David Brandfonbrener
Emma Brunskill
Matteo Pirotta
A. Lazaric
62
130
0
01 Nov 2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric
  Spaces
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
Provably Efficient Reinforcement Learning with Linear Function Approximation
Chi Jin
Zhuoran Yang
Zhaoran Wang
Michael I. Jordan
86
556
0
11 Jul 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy
  Policies
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
Yonathan Efroni
Nadav Merlis
Mohammad Ghavamzadeh
Shie Mannor
OffRL
89
68
0
27 May 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and
  Regret Bound
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang
Mengdi Wang
OffRL
GP
55
286
0
24 May 2019
Learning to Control in Metric Space with Optimal Regret
Learning to Control in Metric Space with Optimal Regret
Lin F. Yang
Chengzhuo Ni
Mengdi Wang
30
29
0
05 May 2019
Efficient Model-free Reinforcement Learning in Metric Spaces
Efficient Model-free Reinforcement Learning in Metric Spaces
Zhao Song
Wen Sun
OffRL
38
39
0
01 May 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning
  without Domain Knowledge using Value Function Bounds
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
Andrea Zanette
Emma Brunskill
OffRL
95
276
0
01 Jan 2019
Is Q-learning Provably Efficient?
Is Q-learning Provably Efficient?
Chi Jin
Zeyuan Allen-Zhu
Sébastien Bubeck
Michael I. Jordan
OffRL
63
806
0
10 Jul 2018
Exploration in Structured Reinforcement Learning
Exploration in Structured Reinforcement Learning
Jungseul Ok
Alexandre Proutiere
Damianos Tranos
148
62
0
03 Jun 2018
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with
  covariates
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates
Henry W. J. Reeve
J. Mellor
Gavin Brown
52
27
0
01 Mar 2018
Minimal Exploration in Structured Stochastic Bandits
Minimal Exploration in Structured Stochastic Bandits
Richard Combes
Stefan Magureanu
Alexandre Proutiere
402
117
0
01 Nov 2017
Minimax Regret Bounds for Reinforcement Learning
Minimax Regret Bounds for Reinforcement Learning
M. G. Azar
Ian Osband
Rémi Munos
80
774
0
16 Mar 2017
Practical Kernel-Based Reinforcement Learning
Practical Kernel-Based Reinforcement Learning
André Barreto
Doina Precup
Joelle Pineau
OffRL
61
43
0
21 Jul 2014
Model-based Reinforcement Learning and the Eluder Dimension
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband
Benjamin Van Roy
86
189
0
07 Jun 2014
The Sample-Complexity of General Reinforcement Learning
The Sample-Complexity of General Reinforcement Learning
Tor Lattimore
Marcus Hutter
P. Sunehag
VLM
64
67
0
22 Aug 2013
(More) Efficient Reinforcement Learning via Posterior Sampling
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband
Daniel Russo
Benjamin Van Roy
116
533
0
04 Jun 2013
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
R. Ortner
D. Ryabko
OffRL
81
85
0
11 Feb 2013
Efficient Regression in Metric Spaces via Approximate Lipschitz
  Extension
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension
Lee-Ad Gottlieb
A. Kontorovich
Robert Krauthgamer
77
54
0
18 Nov 2011
Contextual Bandits with Similarity Information
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
451
451
0
23 Jul 2009
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