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Simulating, Fast and Slow: Learning Policies for Black-Box Optimization

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization

6 June 2024
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
ArXivPDFHTML

Papers citing "Simulating, Fast and Slow: Learning Policies for Black-Box Optimization"

2 / 2 papers shown
Title
Multi-fidelity Constrained Optimization for Stochastic Black Box
  Simulators
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators
A. Agrawal
Kislaya Ravi
P. Koutsourelakis
H. Bungartz
27
5
0
25 Nov 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
1