From cd30c90961cfec1252a90500a5c98a71847e90bb Mon Sep 17 00:00:00 2001 From: Alessandro Palmas Date: Fri, 1 Mar 2024 23:28:19 -0500 Subject: [PATCH] Updated page --- units/en/unitbonus3/envs-to-try.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/units/en/unitbonus3/envs-to-try.mdx b/units/en/unitbonus3/envs-to-try.mdx index e342bcb..3e33ccc 100644 --- a/units/en/unitbonus3/envs-to-try.mdx +++ b/units/en/unitbonus3/envs-to-try.mdx @@ -9,7 +9,7 @@ Here we provide a list of interesting environments you can try to train your age DIAMBRA Arena is a software package featuring a collection of high-quality environments for Reinforcement Learning research and experimentation. It provides a standard interface to popular arcade emulated video games, offering a Python API fully compliant with OpenAI Gym/Gymnasium format, that makes its adoption smooth and straightforward. -It supports all major Operating Systems (Linux, Windows and MacOS) and can be easily installed via [Python PIP](https://pypi.org/project/diambra-arena/). It is completely free to use, the user only needs to register on the official website. +It supports all major Operating Systems (Linux, Windows and MacOS) and can be easily installed via [Python PIP](https://pypi.org/project/diambra-arena/). It is completely free to use, the user only needs to register on the [official website](https://diambra.ai/register/). In addition, its [GitHub repository](https://github.com/diambra/) provides a collection of examples covering main use cases of interest that can be run in just a few steps.