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    <title>PyPI recent updates for universal-learning</title>
    <link>https://pypi.org/project/universal-learning/</link>
    <description>Recent updates to the Python Package Index for universal-learning</description>
    <language>en</language>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/universal-learning/1.3.0/</link>
      <description>Solomonoff induction and AIXI for universal artificial intelligence</description>
<author>benedict@benedictchen.com</author>      <pubDate>Fri, 05 Sep 2025 04:00:33 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/universal-learning/1.2.2/</link>
      <description>Solomonoff induction and AIXI for universal artificial intelligence</description>
<author>benedict@benedictchen.com</author>      <pubDate>Thu, 04 Sep 2025 08:42:28 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/universal-learning/1.2.1/</link>
      <description>Solomonoff induction and AIXI for universal artificial intelligence</description>
<author>benedict@benedictchen.com</author>      <pubDate>Wed, 03 Sep 2025 15:08:04 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/universal-learning/1.2.0/</link>
      <description>Solomonoff induction and AIXI for universal artificial intelligence</description>
<author>benedict@benedictchen.com</author>      <pubDate>Tue, 02 Sep 2025 07:05:03 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/universal-learning/1.1.1/</link>
      <description>Solomonoff induction and AIXI for universal artificial intelligence</description>
<author>benedict@benedictchen.com</author>      <pubDate>Tue, 02 Sep 2025 04:46:24 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/universal-learning/1.1.0/</link>
      <description>Theoretically optimal learning via algorithmic information theory and Solomonoff induction</description>
<author>benedict@benedictchen.com</author>      <pubDate>Sun, 31 Aug 2025 08:54:02 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/universal-learning/1.0.0/</link>
      <description>Theoretically optimal learning via algorithmic information theory and Solomonoff induction</description>
<author>benedict@benedictchen.com</author>      <pubDate>Sun, 31 Aug 2025 08:34:10 GMT</pubDate>
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