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The Parametric Cost Function Approximation: A new approach for
  multistage stochastic programming

The Parametric Cost Function Approximation: A new approach for multistage stochastic programming

1 January 2022
Warrren B Powell
Saeed Ghadimi
ArXiv (abs)PDFHTML

Papers citing "The Parametric Cost Function Approximation: A new approach for multistage stochastic programming"

5 / 5 papers shown
Title
Deep Learning Approximation for Stochastic Control Problems
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han
E. Weinan
BDL
63
197
0
02 Nov 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
332
13,295
0
09 Sep 2015
Learning to Cooperate via Policy Search
Learning to Cooperate via Policy Search
L. Peshkin
Kee-Eung Kim
Nicolas Meuleau
L. Kaelbling
OffRL
89
306
0
07 Aug 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
124
1,562
0
22 Sep 2013
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
A. Ng
Michael I. Jordan
116
495
0
16 Jan 2013
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