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Variational Regret Bounds for Reinforcement Learning
v1v2v3 (latest)

Variational Regret Bounds for Reinforcement Learning

14 May 2019
Pratik Gajane
R. Ortner
P. Auer
ArXiv (abs)PDFHTML

Papers citing "Variational Regret Bounds for Reinforcement Learning"

5 / 5 papers shown
Title
A New Algorithm for Non-stationary Contextual Bandits: Efficient,
  Optimal, and Parameter-free
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
Yifang Chen
Chung-Wei Lee
Haipeng Luo
Chen-Yu Wei
130
134
0
03 Feb 2019
Selecting Near-Optimal Approximate State Representations in
  Reinforcement Learning
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
R. Ortner
Odalric-Ambrym Maillard
D. Ryabko
143
27
0
12 May 2014
Online Learning in Markov Decision Processes with Adversarially Chosen
  Transition Probability Distributions
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi-Yadkori
Peter L. Bartlett
Csaba Szepesvári
97
86
0
12 Mar 2013
Regret Bounds for Restless Markov Bandits
Regret Bounds for Restless Markov Bandits
R. Ortner
D. Ryabko
P. Auer
Rémi Munos
98
117
0
12 Sep 2012
REGAL: A Regularization based Algorithm for Reinforcement Learning in
  Weakly Communicating MDPs
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs
Peter L. Bartlett
Ambuj Tewari
93
286
0
09 May 2012
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