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1710.06100
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Primal-Dual
π
π
π
Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems
17 October 2017
Mengdi Wang
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Papers citing
"Primal-Dual $π$ Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems"
11 / 11 papers shown
Title
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen
Chengchang Liu
Jingzhao Zhang
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1
0
12 Oct 2024
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes
Aaron Sidford
Mengdi Wang
X. Wu
Yinyu Ye
52
125
0
27 Oct 2017
Lower Bound On the Computational Complexity of Discounted Markov Decision Problems
Yichen Chen
Mengdi Wang
38
18
0
20 May 2017
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
Yichen Chen
Mengdi Wang
60
64
0
08 Dec 2016
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration
B. Scherrer
58
75
0
03 Jun 2013
On the Complexity of Solving Markov Decision Problems
Michael L. Littman
T. Dean
L. Kaelbling
59
584
0
20 Feb 2013
On the Complexity of Policy Iteration
Yishay Mansour
Satinder Singh
54
101
0
23 Jan 2013
On the Sample Complexity of Reinforcement Learning with a Generative Model
M. G. Azar
Rémi Munos
H. Kappen
61
156
0
27 Jun 2012
PAC Bounds for Discounted MDPs
Tor Lattimore
Marcus Hutter
77
188
0
17 Feb 2012
Sublinear Optimization for Machine Learning
K. Clarkson
Elad Hazan
David P. Woodruff
68
138
0
21 Oct 2010
Solving variational inequalities with Stochastic Mirror-Prox algorithm
A. Juditsky
A. Nemirovskii
Claire Tauvel
119
441
0
04 Sep 2008
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