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    <title>PyPI recent updates for continual-foragax</title>
    <link>https://pypi.org/project/continual-foragax/</link>
    <description>Recent updates to the Python Package Index for continual-foragax</description>
    <language>en</language>    <item>
      <title>0.54.1</title>
      <link>https://pypi.org/project/continual-foragax/0.54.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sun, 01 Mar 2026 08:22:41 GMT</pubDate>
    </item>    <item>
      <title>0.54.0</title>
      <link>https://pypi.org/project/continual-foragax/0.54.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sun, 01 Mar 2026 00:40:44 GMT</pubDate>
    </item>    <item>
      <title>0.53.0</title>
      <link>https://pypi.org/project/continual-foragax/0.53.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Fri, 27 Feb 2026 22:44:28 GMT</pubDate>
    </item>    <item>
      <title>0.52.0</title>
      <link>https://pypi.org/project/continual-foragax/0.52.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 26 Feb 2026 03:45:40 GMT</pubDate>
    </item>    <item>
      <title>0.51.0</title>
      <link>https://pypi.org/project/continual-foragax/0.51.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Mon, 23 Feb 2026 21:30:38 GMT</pubDate>
    </item>    <item>
      <title>0.50.0</title>
      <link>https://pypi.org/project/continual-foragax/0.50.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sat, 21 Feb 2026 20:16:16 GMT</pubDate>
    </item>    <item>
      <title>0.49.0</title>
      <link>https://pypi.org/project/continual-foragax/0.49.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 19 Feb 2026 22:03:02 GMT</pubDate>
    </item>    <item>
      <title>0.48.0</title>
      <link>https://pypi.org/project/continual-foragax/0.48.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 19 Feb 2026 21:53:46 GMT</pubDate>
    </item>    <item>
      <title>0.47.1</title>
      <link>https://pypi.org/project/continual-foragax/0.47.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Mon, 09 Feb 2026 22:13:05 GMT</pubDate>
    </item>    <item>
      <title>0.47.0</title>
      <link>https://pypi.org/project/continual-foragax/0.47.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Mon, 09 Feb 2026 21:21:57 GMT</pubDate>
    </item>    <item>
      <title>0.46.1</title>
      <link>https://pypi.org/project/continual-foragax/0.46.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Fri, 06 Feb 2026 16:59:47 GMT</pubDate>
    </item>    <item>
      <title>0.46.0</title>
      <link>https://pypi.org/project/continual-foragax/0.46.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Fri, 06 Feb 2026 16:16:20 GMT</pubDate>
    </item>    <item>
      <title>0.45.0</title>
      <link>https://pypi.org/project/continual-foragax/0.45.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 05 Feb 2026 22:56:05 GMT</pubDate>
    </item>    <item>
      <title>0.44.0</title>
      <link>https://pypi.org/project/continual-foragax/0.44.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 05 Feb 2026 17:19:21 GMT</pubDate>
    </item>    <item>
      <title>0.43.1</title>
      <link>https://pypi.org/project/continual-foragax/0.43.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 04 Feb 2026 21:50:31 GMT</pubDate>
    </item>    <item>
      <title>0.43.0</title>
      <link>https://pypi.org/project/continual-foragax/0.43.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 04 Feb 2026 21:41:37 GMT</pubDate>
    </item>    <item>
      <title>0.42.2</title>
      <link>https://pypi.org/project/continual-foragax/0.42.2/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 04 Feb 2026 20:59:40 GMT</pubDate>
    </item>    <item>
      <title>0.42.1</title>
      <link>https://pypi.org/project/continual-foragax/0.42.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 22 Jan 2026 01:30:59 GMT</pubDate>
    </item>    <item>
      <title>0.42.0</title>
      <link>https://pypi.org/project/continual-foragax/0.42.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 21 Jan 2026 22:54:19 GMT</pubDate>
    </item>    <item>
      <title>0.41.0</title>
      <link>https://pypi.org/project/continual-foragax/0.41.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 15 Jan 2026 16:57:31 GMT</pubDate>
    </item>    <item>
      <title>0.40.0</title>
      <link>https://pypi.org/project/continual-foragax/0.40.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 15 Jan 2026 05:02:30 GMT</pubDate>
    </item>    <item>
      <title>0.39.0</title>
      <link>https://pypi.org/project/continual-foragax/0.39.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 11 Dec 2025 20:18:40 GMT</pubDate>
    </item>    <item>
      <title>0.38.0</title>
      <link>https://pypi.org/project/continual-foragax/0.38.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 11 Dec 2025 18:55:10 GMT</pubDate>
    </item>    <item>
      <title>0.37.0</title>
      <link>https://pypi.org/project/continual-foragax/0.37.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Fri, 28 Nov 2025 13:56:36 GMT</pubDate>
    </item>    <item>
      <title>0.36.1</title>
      <link>https://pypi.org/project/continual-foragax/0.36.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 06 Nov 2025 22:47:09 GMT</pubDate>
    </item>    <item>
      <title>0.36.0</title>
      <link>https://pypi.org/project/continual-foragax/0.36.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 06 Nov 2025 20:39:32 GMT</pubDate>
    </item>    <item>
      <title>0.35.0</title>
      <link>https://pypi.org/project/continual-foragax/0.35.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 05 Nov 2025 17:22:15 GMT</pubDate>
    </item>    <item>
      <title>0.34.0</title>
      <link>https://pypi.org/project/continual-foragax/0.34.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 05 Nov 2025 00:05:31 GMT</pubDate>
    </item>    <item>
      <title>0.33.2</title>
      <link>https://pypi.org/project/continual-foragax/0.33.2/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 30 Oct 2025 19:18:39 GMT</pubDate>
    </item>    <item>
      <title>0.33.1</title>
      <link>https://pypi.org/project/continual-foragax/0.33.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 30 Oct 2025 03:47:39 GMT</pubDate>
    </item>    <item>
      <title>0.33.0</title>
      <link>https://pypi.org/project/continual-foragax/0.33.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 30 Oct 2025 03:40:05 GMT</pubDate>
    </item>    <item>
      <title>0.32.1</title>
      <link>https://pypi.org/project/continual-foragax/0.32.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 29 Oct 2025 03:54:54 GMT</pubDate>
    </item>    <item>
      <title>0.32.0</title>
      <link>https://pypi.org/project/continual-foragax/0.32.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Wed, 29 Oct 2025 01:24:22 GMT</pubDate>
    </item>    <item>
      <title>0.31.0</title>
      <link>https://pypi.org/project/continual-foragax/0.31.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Fri, 17 Oct 2025 17:33:36 GMT</pubDate>
    </item>    <item>
      <title>0.30.1</title>
      <link>https://pypi.org/project/continual-foragax/0.30.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Tue, 14 Oct 2025 20:02:59 GMT</pubDate>
    </item>    <item>
      <title>0.30.0</title>
      <link>https://pypi.org/project/continual-foragax/0.30.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 09 Oct 2025 22:21:34 GMT</pubDate>
    </item>    <item>
      <title>0.29.0</title>
      <link>https://pypi.org/project/continual-foragax/0.29.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Thu, 09 Oct 2025 21:39:51 GMT</pubDate>
    </item>    <item>
      <title>0.28.1</title>
      <link>https://pypi.org/project/continual-foragax/0.28.1/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sun, 05 Oct 2025 03:52:09 GMT</pubDate>
    </item>    <item>
      <title>0.28.0</title>
      <link>https://pypi.org/project/continual-foragax/0.28.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sun, 05 Oct 2025 03:31:46 GMT</pubDate>
    </item>    <item>
      <title>0.27.0</title>
      <link>https://pypi.org/project/continual-foragax/0.27.0/</link>
      <description>A continual reinforcement learning benchmark</description>
<author>stang5@ualberta.ca</author>      <pubDate>Sat, 04 Oct 2025 17:17:40 GMT</pubDate>
    </item>  </channel>
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