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

ArXiv (abs)PDF HTML

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

20 / 20 papers shown

Title
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 62 2 0 11 Sep 2023
Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks Daniel Schwalbe-Koda Aik Rui Tan Rafael Gómez-Bombarelli AAML 68 61 0 27 Jan 2021
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 47 58 0 30 Oct 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 58 71 0 20 Jul 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 121 630 0 05 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 190 854 0 04 Nov 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 473 0 03 Oct 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 74 199 0 29 Jan 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 73 847 0 21 Nov 2018
Learning To Simulate Nataniel Ruiz S. Schulter Manmohan Chandraker 202 119 0 05 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 111 1,794 0 08 Jul 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 56 136 0 05 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,396 0 04 Jan 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 102 300 0 31 Oct 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 52 285 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 529 19,237 0 20 Jul 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
A Differentiable Physics Engine for Deep Learning in Robotics Jonas Degrave Michiel Hermans J. Dambre Francis Wyffels PINN AI4CE 77 231 0 05 Nov 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 106 3,434 0 08 Jun 2015
A Literature Survey of Benchmark Functions For Global Optimization Problems Momin Jamil Xin-She Yang 106 1,283 0 19 Aug 2013