<story><title>A step-by-step guide to the “World Models” AI paper</title><url>https://applied-data.science/blog/hallucinogenic-deep-reinforcement-learning-using-python-and-keras</url></story><parent_chain></parent_chain><comment><author>hardmaru</author><text>Hi, I&amp;#x27;m one of the authors of this paper (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;arxiv.org&amp;#x2F;abs&amp;#x2F;1803.10122&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;arxiv.org&amp;#x2F;abs&amp;#x2F;1803.10122&lt;/a&gt;, &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;worldmodels.github.io&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;worldmodels.github.io&lt;/a&gt;).&lt;p&gt;Happy to answer any questions you may have.</text></comment>
<story><title>A step-by-step guide to the “World Models” AI paper</title><url>https://applied-data.science/blog/hallucinogenic-deep-reinforcement-learning-using-python-and-keras</url></story><parent_chain></parent_chain><comment><author>bassman9000</author><text>&lt;i&gt;Our agent consists of three components that work closely
together: Vision (V), Memory (M), and Controller (C)&lt;/i&gt;&lt;p&gt;Next web frameworks are going to be  smart!</text></comment>