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Task-based End-to-end Model Learning in Stochastic Optimization
v1v2v3v4 (latest)

Task-based End-to-end Model Learning in Stochastic Optimization

13 March 2017
P. Donti
Brandon Amos
J. Zico Kolter
ArXiv (abs)PDFHTML

Papers citing "Task-based End-to-end Model Learning in Stochastic Optimization"

10 / 10 papers shown
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Adam N. Elmachtoub
Henry Lam
Haofeng Zhang
Yunfan Zhao
481
14
0
13 Apr 2023
Distributionally Robust End-to-End Portfolio Construction
Distributionally Robust End-to-End Portfolio Construction
Giorgio Costa
G. Iyengar
OOD
225
22
0
10 Jun 2022
Neuro-physical dynamic load modeling using differentiable parametric
  optimization
Neuro-physical dynamic load modeling using differentiable parametric optimizationIEEE Power & Energy Society General Meeting (PESGM), 2022
S. Abhyankar
Ján Drgoňa
Andrew August
Elliott Skomski
Aaron Tuor
180
3
0
20 Mar 2022
Efficient differentiable quadratic programming layers: an ADMM approach
Efficient differentiable quadratic programming layers: an ADMM approach
A. Butler
R. Kwon
240
31
0
14 Dec 2021
Generalization Bounds in the Predict-then-Optimize Framework
Generalization Bounds in the Predict-then-Optimize FrameworkNeural Information Processing Systems (NeurIPS), 2019
Othman El Balghiti
Adam N. Elmachtoub
Paul Grigas
Ambuj Tewari
336
83
0
27 May 2019
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
423
139
0
15 Oct 2018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
  Reinforcement Learning
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar
Tim Rocktaschel
Maximilian Igl
Shimon Whiteson
OffRL
280
72
0
31 Oct 2017
Smart "Predict, then Optimize"
Smart "Predict, then Optimize"Management Sciences (MS), 2017
Adam N. Elmachtoub
Paul Grigas
676
785
0
22 Oct 2017
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
Somil Bansal
Roberto Calandra
Kurtland Chua
Sergey Levine
Claire Tomlin
OffRL
323
40
0
10 Sep 2017
Goal-Driven Dynamics Learning via Bayesian Optimization
Goal-Driven Dynamics Learning via Bayesian Optimization
Somil Bansal
Roberto Calandra
Ted Xiao
Sergey Levine
Claire Tomlin
202
116
0
27 Mar 2017
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