Info
| Version: | 1.2.0 |
| Author(s): | Brian MacKay |
| Last Update: | Thursday, April 11, 2019 |
| .NET Fiddle: | Create the first Fiddle |
| Project Url: | https://github.com/kinetiq/Ether.WeightedSelector |
| NuGet Url: | https://www.nuget.org/packages/Ether.WeightedSelector |
Install
Install-Package Ether.WeightedSelector
dotnet add package Ether.WeightedSelector
paket add Ether.WeightedSelector
Ether.WeightedSelector Download (Unzip the "nupkg" after downloading)
Dependencies
Tags
This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include suggestion engines and game AI.
In one of the examples, we implement a game AI that decides between attacking, fleeing, and casting a heal spell based on a dynamic "fear" factor..
In 6 lines of code. Free to use under MIT License.