<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>merricksb</author><text>Discussed 2 days ago (244 points):&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=13742911&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=13742911&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>A JavaScript deep learning and reinforcement learning library</title><url>https://github.com/janhuenermann/neurojs</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>platz</author><text>I get why deep learning is nice but I just do not get the hype around reinforcement learning yet.  RL seems great for things like training video game agents and have seen videos of this, but fail to understand where RL can be applied in the real world.&lt;p&gt;It reminds me a bit of genetic algorithms.  GA is the &amp;#x27;last resort&amp;#x27; when you truly know nothing about how to model your problem.&lt;p&gt;What is the sweet spot for RL?</text><parent_chain></parent_chain></comment><story><title>A JavaScript deep learning and reinforcement learning library</title><url>https://github.com/janhuenermann/neurojs</url></story>