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    <title>PyPI recent updates for dist-classicrl</title>
    <link>https://pypi.org/project/dist-classicrl/</link>
    <description>Recent updates to the Python Package Index for dist-classicrl</description>
    <language>en</language>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.17/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Fri, 19 Sep 2025 21:55:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.8/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Fri, 19 Sep 2025 18:51:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.7/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Wed, 17 Sep 2025 20:00:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.5/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Wed, 17 Sep 2025 17:04:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.3/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Tue, 16 Sep 2025 21:23:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/dist-classicrl/0.1.0/</link>
      <description>A high-performance Python package for distributed classical reinforcement learning algorithms with support for single-threaded, parallel, and MPI-distributed Q-Learning training.</description>
<author>j.moralejo.pinas@gmail.com</author>      <pubDate>Mon, 15 Sep 2025 22:29:47 GMT</pubDate>
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