RL.Env 1.0.9

There is a newer version of this package available.
See the version list below for details.
dotnet add package RL.Env --version 1.0.9                
NuGet\Install-Package RL.Env -Version 1.0.9                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="RL.Env" Version="1.0.9" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add RL.Env --version 1.0.9                
#r "nuget: RL.Env, 1.0.9"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install RL.Env as a Cake Addin
#addin nuget:?package=RL.Env&version=1.0.9

// Install RL.Env as a Cake Tool
#tool nuget:?package=RL.Env&version=1.0.9                

RL.Env is an open source dotnet library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well a standard set of environments compliant with that API.

Product Compatible and additional computed target framework versions.
.NET net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.12 282 2/8/2023
1.0.11 253 2/1/2023
1.0.10 48,128 1/10/2023
1.0.9 294 1/3/2023
1.0.8 1,089 12/30/2022
1.0.7 279 12/30/2022
1.0.6 2,161 11/23/2022
1.0.5 300 11/22/2022
1.0.0 312 11/21/2022