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Gym-MiniGrid
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 The Minigrid library contains a collection of discrete grid-world environments to conduct research on Reinforcement Learning. The environments follow the [Gymnasium]() standard API and they are designed to be lightweight, fast, and easily customizable. 
 The Minigrid library contains a collection of discrete grid-world environments to conduct research on Reinforcement Learning. The environments follow the [Gymnasium]() standard API and they are designed to be lightweight, fast, and easily customizable. 
 
 
-The documentation website is at [minigrid.farama.org](https://minigrid.farama.org/), and we have a public discord server (which we also use to coordinate development work) that you can join here: [https://discord.gg/B8ZJ92hu](https://discord.gg/B8ZJ92hu)
 
+The documentation website is at [minigrid.farama.org](https://minigrid.farama.org/), and we have a public discord server (which we also use to coordinate development work) that you can join here: [https://discord.gg/bnJ6kubTg6](https://discord.gg/bnJ6kubTg6)
 
 
 
 Note that the library was previously known as gym-minigrid and it has been referenced in several publications. If your publication uses the Minigrid library and you wish for it to be included in the [list of publications](https://minigrid.farama.org/content/publications/), please create an issue in the [GitHub repository](https://github.com/Farama-Foundation/Minigrid/issues/new/choose).
 
 Note that the library was previously known as gym-minigrid and it has been referenced in several publications. If your publication uses the Minigrid library and you wish for it to be included in the [list of publications](https://minigrid.farama.org/content/publications/), please create an issue in the [GitHub repository](https://github.com/Farama-Foundation/Minigrid/issues/new/choose).