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    <title>PyPI recent updates for poliwrap</title>
    <link>https://pypi.org/project/poliwrap/</link>
    <description>Recent updates to the Python Package Index for poliwrap</description>
    <language>en</language>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/poliwrap/0.0.5/</link>
      <description>A lightweight, framework-agnostic abstraction for reinforcement learning policy inference.</description>
<author>miguel.villafloran@gmail.com, jcao0715@gmail.com</author>      <pubDate>Sun, 22 Feb 2026 22:20:35 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/poliwrap/0.0.4/</link>
      <description>A lightweight, framework-agnostic abstraction for reinforcement learning policy inference.</description>
<author>miguel.villafloran@gmail.com, jcao0715@gmail.com</author>      <pubDate>Thu, 22 Jan 2026 11:50:07 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/poliwrap/0.0.3/</link>
      <description>A lightweight, framework-agnostic abstraction for reinforcement learning policy inference.</description>
<author>miguel.villafloran@gmail.com, jcao0715@gmail.com</author>      <pubDate>Thu, 22 Jan 2026 11:00:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/poliwrap/0.0.2/</link>
      <description>A lightweight, framework-agnostic abstraction for reinforcement learning policy inference.</description>
<author>miguel.villafloran@gmail.com, jcao0715@gmail.com</author>      <pubDate>Thu, 22 Jan 2026 10:02:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/poliwrap/0.0.1/</link>
      <description>Add your description here</description>
<author>miguel.villafloran@gmail.com, jcao0715@gmail.com</author>      <pubDate>Thu, 22 Jan 2026 09:12:49 GMT</pubDate>
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