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Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular
  reinforcement learning

Instance-dependent ℓ∞\ell_\inftyℓ∞​-bounds for policy evaluation in tabular reinforcement learning

19 September 2019
A. Pananjady
Martin J. Wainwright
    OffRL
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Papers citing "Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular reinforcement learning"

4 / 4 papers shown
Title
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning
  with a Generative Model
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
36
125
0
26 May 2020
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and
  Non-Asymptotic Concentration
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
Wenlong Mou
C. J. Li
Martin J. Wainwright
Peter L. Bartlett
Michael I. Jordan
33
75
0
09 Apr 2020
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
K. Khamaru
A. Pananjady
Feng Ruan
Martin J. Wainwright
Michael I. Jordan
OffRL
27
47
0
16 Mar 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function
  Approximation and Correlated Equilibrium
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
Qiaomin Xie
Yudong Chen
Zhaoran Wang
Zhuoran Yang
41
124
0
17 Feb 2020
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