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On the Relationship Between the OpenAI Evolution Strategy and Stochastic
  Gradient Descent

On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent

18 December 2017
Xingwen Zhang
Jeff Clune
Kenneth O. Stanley
ArXivPDFHTML

Papers citing "On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent"

12 / 12 papers shown
Title
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason Eshraghian
36
52
0
18 May 2023
EvoTorch: Scalable Evolutionary Computation in Python
EvoTorch: Scalable Evolutionary Computation in Python
N. E. Toklu
Timothy James Atkinson
Vojtvech Micka
Paweł Liskowski
R. Srivastava
22
12
0
24 Feb 2023
Biologically Plausible Training of Deep Neural Networks Using a Top-down
  Credit Assignment Network
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network
Jian-Hui Chen
Cheng-Lin Liu
Zuoren Wang
26
0
0
01 Aug 2022
Learning Discrete Structured Variational Auto-Encoder using Natural
  Evolution Strategies
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
Alon Berliner
Guy Rotman
Yossi Adi
Roi Reichart
Tamir Hazan
BDL
DRL
24
4
0
03 May 2022
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
Jian Cheng Wong
Abhishek Gupta
Yew-Soon Ong
28
21
0
06 Jan 2021
Improving Neural Network Training in Low Dimensional Random Bases
Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann
Zach Eaton-Rosen
Carlo Luschi
30
28
0
09 Nov 2020
Creative AI Through Evolutionary Computation
Creative AI Through Evolutionary Computation
Risto Miikkulainen
16
18
0
12 Jan 2019
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Youru Li
Zhenfeng Zhu
Deqiang Kong
Jinhyuk Lee
Yao Zhao
AI4TS
27
355
0
09 Nov 2018
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural
  Networks
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks
Xiaodong Cui
Wei Zhang
Zoltán Tüske
M. Picheny
ODL
16
89
0
16 Oct 2018
Switching Isotropic and Directional Exploration with Parameter Space
  Noise in Deep Reinforcement Learning
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Izumi Karino
Kazutoshi Tanaka
Ryuma Niiyama
Y. Kuniyoshi
19
3
0
18 Sep 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
16
72
0
13 Mar 2018
ES Is More Than Just a Traditional Finite-Difference Approximator
ES Is More Than Just a Traditional Finite-Difference Approximator
Joel Lehman
Jay Chen
Jeff Clune
Kenneth O. Stanley
19
89
0
18 Dec 2017
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