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    <title>PyPI recent updates for ludo-king-engine</title>
    <link>https://pypi.org/project/ludo-king-engine/</link>
    <description>Recent updates to the Python Package Index for ludo-king-engine</description>
    <language>en</language>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/ludo-king-engine/0.1.3/</link>
      <description>A pure Python implementation of the Ludo game, built for reinforcement learning and strategy testing. The engine defines deterministic rules, cleanly separates game mechanics from strategies, and requires no external libraries.</description>
<author>noreply@github.com</author>      <pubDate>Sat, 20 Sep 2025 22:06:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/ludo-king-engine/0.1.2/</link>
      <description>A pure Python implementation of the Ludo game, built for reinforcement learning and strategy testing. The engine defines deterministic rules, cleanly separates game mechanics from strategies, and requires no external libraries.</description>
<author>noreply@github.com</author>      <pubDate>Wed, 17 Sep 2025 23:17:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/ludo-king-engine/0.1.1/</link>
      <description>A pure Python implementation of the Ludo game, built for reinforcement learning and strategy testing. The engine defines deterministic rules, cleanly separates game mechanics from strategies, and requires no external libraries.</description>
<author>noreply@github.com</author>      <pubDate>Wed, 17 Sep 2025 17:51:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/ludo-king-engine/0.1.0/</link>
      <description>A pure Python implementation of the Ludo game, built for reinforcement learning and strategy testing. The engine defines deterministic rules, cleanly separates game mechanics from strategies, and requires no external libraries.</description>
<author>noreply@github.com</author>      <pubDate>Tue, 16 Sep 2025 13:50:37 GMT</pubDate>
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