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Optimal sequential decision making with probabilistic digital twins

Optimal sequential decision making with probabilistic digital twins

12 March 2021
C. Agrell
Kristina Rognlien Dahl
A. Hafver
ArXivPDFHTML

Papers citing "Optimal sequential decision making with probabilistic digital twins"

14 / 14 papers shown
Title
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
55
2,569
0
16 May 2024
Optimizing Sequential Experimental Design with Deep Reinforcement
  Learning
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau
Edwin V. Bonilla
Iadine Chadès
Amir Dezfouli
BDL
OffRL
43
39
0
02 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian
  Optimal Experimental Design
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Yonatan Ashenafi
Piyush Pandita
Sayan Ghosh
OffRL
56
6
0
21 Dec 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models
  Using Policy Gradient Reinforcement Learning
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
Wanggang Shen
Xun Huan
23
40
0
28 Oct 2021
A Probabilistic Graphical Model Foundation for Enabling Predictive
  Digital Twins at Scale
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn
Jacob V. R. Pretorius
Karen E. Willcox
42
222
0
10 Dec 2020
Sequential Bayesian optimal experimental design for structural
  reliability analysis
Sequential Bayesian optimal experimental design for structural reliability analysis
C. Agrell
Kristina Rognlien Dahl
39
21
0
01 Jul 2020
On Deep Set Learning and the Choice of Aggregations
On Deep Set Learning and the Choice of Aggregations
Maximilian Sölch
A. Akhundov
Patrick van der Smagt
Justin Bayer
TDI
39
19
0
18 Mar 2019
On the Limitations of Representing Functions on Sets
On the Limitations of Representing Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Ingmar Posner
Michael A. Osborne
62
163
0
25 Jan 2019
An Optimal Control Approach to Deep Learning and Applications to
  Discrete-Weight Neural Networks
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
Qianxiao Li
Shuji Hao
49
75
0
04 Mar 2018
Maximum Principle Based Algorithms for Deep Learning
Maximum Principle Based Algorithms for Deep Learning
Qianxiao Li
Long Chen
Cheng Tai
E. Weinan
45
222
0
26 Oct 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
204
2,441
0
10 Mar 2017
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
131
7,590
0
22 Sep 2015
Simulation-based optimal Bayesian experimental design for nonlinear
  systems
Simulation-based optimal Bayesian experimental design for nonlinear systems
Xun Huan
Youssef M. Marzouk
60
427
0
20 Aug 2011
Sequential design of computer experiments for the estimation of a
  probability of failure
Sequential design of computer experiments for the estimation of a probability of failure
Julien Bect
D. Ginsbourger
Ling Li
Victor Picheny
E. Vázquez
78
348
0
27 Sep 2010
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