Lilian Weng • 9/5/2019

Evolution Strategies

Read Original

This technical article explores Evolution Strategies (ES), a class of black-box optimization algorithms within the evolutionary algorithms family. It contrasts ES with gradient-based methods like SGD, explains the core concepts of ES including the Simple Gaussian ES, and discusses its application in optimizing deep reinforcement learning models where gradient computation is difficult.

0 comments
#Evolution Strategies #Evolutionary Algorithms #Stochastic Gradient Descent
Evolution Strategies

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Using Browser Apis In React Practical Guide
Jivbcoop • 2 votes
3
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
4
Top picks — 2026 January
Paweł Grzybek • 1 votes
5
In Praise of –dry-run
Henrik Warne • 1 votes
6
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár • 1 votes
7
Vibe coding your first iOS app
William Denniss • 1 votes
8
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
9
Quoting Thariq Shihipar
Simon Willison • 1 votes
10
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes