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A Novel Evolution Strategy with Directional Gaussian Smoothing for
  Blackbox Optimization
v1v2 (latest)

A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization

7 February 2020
Jiaxin Zhang
Hoang Tran
Dan Lu
Guannan Zhang
ArXiv (abs)PDFHTML

Papers citing "A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization"

8 / 8 papers shown
Data-Centric Approach to Constrained Machine Learning: A Case Study on
  Conway's Game of Life
Data-Centric Approach to Constrained Machine Learning: A Case Study on Conway's Game of Life
A. Bibin
Anton Dereventsov
164
2
0
23 Aug 2024
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable
  Graphics
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable GraphicsACM Transactions on Graphics (TOG), 2023
Michael Fischer
Tobias Ritschel
359
7
0
10 Aug 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland
Gilles Louppe
D. Ernst
323
5
0
11 May 2023
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
301
99
0
28 Sep 2021
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit
  Models
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
Jiaxin Zhang
Sirui Bi
Guannan Zhang
135
0
0
14 Mar 2021
A Scalable Gradient-Free Method for Bayesian Experimental Design with
  Implicit Models
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jiaxin Zhang
Sirui Bi
Guannan Zhang
196
9
0
14 Mar 2021
An adaptive stochastic gradient-free approach for high-dimensional
  blackbox optimization
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization
Anton Dereventsov
Clayton Webster
Joseph Daws
235
12
0
18 Jun 2020
Accelerating Reinforcement Learning with a
  Directional-Gaussian-Smoothing Evolution Strategy
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution StrategyElectronic Research Archive (ERA), 2020
Jiaxing Zhang
Hoang Tran
Guannan Zhang
171
12
0
21 Feb 2020
1
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