An implementation of NEAT combined with SGD (based on the paper 2018 paper: Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks), for estimating optimal VCG redistribution functions for the public project problem
-
Notifications
You must be signed in to change notification settings - Fork 0
An implementation of NEAT combined with SGD (based on the paper 2018 paper: Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks), for estimating optimal VCG redistribution functions for the public project mechanism design problem
HasithaJayatilake/vcg-evolutionary-sgd
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
An implementation of NEAT combined with SGD (based on the paper 2018 paper: Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks), for estimating optimal VCG redistribution functions for the public project mechanism design problem
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published