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pseudo-rnd-thoughts 2 年之前
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共有 5 個文件被更改,包括 7 次插入6 次删除
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      _images/door-key-curriculum.gif
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content/basic_usage/index.html

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     <meta property="og:type" content="website" />
     <meta property="og:description" content="" />
     <meta property="og:url" content="https://minigrid.farama.org/content/basic_usage.html" /><meta name="twitter:card" content="summary_large_image"><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
-<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="List of Publications" href="../publications/" /><link rel="prev" title="Minigrid contains simple and easily configurable grid world environments to conduct Reinforcement Learning research." href="../../" />
+<link rel="index" title="Index" href="../../genindex/" /><link rel="search" title="Search" href="../../search/" /><link rel="next" title="List of Publications" href="../publications/" /><link rel="prev" title="Minigrid contains simple and easily configurable grid world environments to conduct Reinforcement Learning research. This library was previously known as gym-minigrid." href="../../" />
         <link rel="canonical" href="https://minigrid.farama.org/content/basic_usage.html" />
 
     <link rel="shortcut icon" href="../../_static/minigrid-favicon.png"/><meta name="generator" content="sphinx-5.2.3, furo 2022.09.15.dev1"/>

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index.html

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         </div>
         <article role="main">
           
-          <section id="minigrid-contains-simple-and-easily-configurable-grid-world-environments-to-conduct-reinforcement-learning-research">
-<h1>Minigrid contains simple and easily configurable grid world environments to conduct Reinforcement Learning research.<a class="headerlink" href="#minigrid-contains-simple-and-easily-configurable-grid-world-environments-to-conduct-reinforcement-learning-research" title="Permalink to this heading">#</a></h1>
-<p><a class="reference external" href="https://pre-commit.com/"><img alt="pre-commit" src="https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&amp;logoColor=white" /></a>
-<a class="reference external" href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg" /></a></p>
+          <section id="minigrid-contains-simple-and-easily-configurable-grid-world-environments-to-conduct-reinforcement-learning-research-this-library-was-previously-known-as-gym-minigrid">
+<h1>Minigrid contains simple and easily configurable grid world environments to conduct Reinforcement Learning research. This library was previously known as gym-minigrid.<a class="headerlink" href="#minigrid-contains-simple-and-easily-configurable-grid-world-environments-to-conduct-reinforcement-learning-research-this-library-was-previously-known-as-gym-minigrid" title="Permalink to this heading">#</a></h1>
+<figure class="align-default">
+<a class="reference internal image-reference" href="_images/door-key-curriculum.gif"><img alt="door_key_gif" src="_images/door-key-curriculum.gif" style="width: 500px; height: 500px;" /></a>
+</figure>
 <p>This library contains a collection of 2D grid-world environments with goal-oriented tasks. The agent in these environments is a triangle-like agent with a discrete action space. The tasks involve solving different maze maps and interacting with different objects such as doors, keys, or boxes.  The design of the library is meant to be simple, fast, and easily customizable.</p>
 <p>In addition, the environments found in the <a class="reference external" href="https://github.com/mila-iqia/babyai">BabyAI</a> repository have been included in Minigrid and will be further maintained under this library.</p>
 <p>The Gymnasium interface allows to initialize and interact with the Minigrid default environments as follows:</p>

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searchindex.js