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      <title>Pick-A-Partridge: A Festive Game On Reddit</title>
      <link>https://zl-labs.tech/post/2025-12-22-pick-a-partridge-game-ga/</link>
      <pubDate>Mon, 22 Dec 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;On a rainy November weekend, I decided to test drive the Devvit framework, designed&#xA;for creating apps and games within the Reddit ecosystem. Within a day or two, I had built the first version of &lt;em&gt;Pick-A-Partridge&lt;/em&gt;.&#xA;It&amp;rsquo;s a festive game of memory, themed around the Twelve Days of Christmas, which will become clear from the backing music when you&#xA;come to play it.&lt;/p&gt;&#xA;&lt;p&gt;The game now has its own subreddit, &lt;a href=&#34;https://www.reddit.com/r/pick_a_partridge/&#34;&gt;r/pick_a_partridge&lt;/a&gt;, which is where&#xA;you can play. A lot of people are!&lt;/p&gt;</description>
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      <title>Atari Pong</title>
      <link>https://zl-labs.tech/post/2020-10-04-atari-pong/</link>
      <pubDate>Sun, 04 Oct 2020 00:00:00 +0000</pubDate>
      <guid>https://zl-labs.tech/post/2020-10-04-atari-pong/</guid>
      <description>&lt;p&gt;This is a short post to describe my practical introduction to Reinforcement Learning (RL), where I trained a simple agent&#xA;to play the classic Atari game Pong via a Deep Q-Network.&lt;/p&gt;&#xA;&lt;p&gt;In English, this means we teach a novice computer to play the&#xA;classic paddle game by allowing it to observe what happens when it performs various movements at different times and&#xA;stages of gameplay (against the same, fairly strong opponent). Then, after making a sequence of movement&#xA;choices, our agent either gets a point (reward of +1) or loses one (reward of -1). After a lot of trial and error, the&#xA;agent will have observed enough situations to learn what is a good move to make at a given moment in the game.&lt;/p&gt;</description>
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