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    <title>PyPI recent updates for rewardguard</title>
    <link>https://pypi.org/project/rewardguard/</link>
    <description>Recent updates to the Python Package Index for rewardguard</description>
    <language>en</language>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/rewardguard/1.0.4/</link>
      <description>AI alignment and reward balance analysis for reinforcement learning systems</description>
<author>giovan@rewardguard.dev</author>      <pubDate>Thu, 16 Apr 2026 03:07:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/rewardguard/1.0.3/</link>
      <description>AI alignment and reward balance analysis for reinforcement learning systems</description>
<author>support@rewardguard.dev</author>      <pubDate>Tue, 14 Apr 2026 02:53:01 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/rewardguard/1.0.2/</link>
      <description>AI alignment and reward balance analysis for reinforcement learning systems</description>
<author>support@rewardguard.ai</author>      <pubDate>Wed, 08 Apr 2026 04:41:09 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/rewardguard/1.0.1/</link>
      <description>AI alignment and reward balance analysis for reinforcement learning systems</description>
<author>support@rewardguard.ai</author>      <pubDate>Mon, 06 Apr 2026 22:18:00 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/rewardguard/1.0.0/</link>
      <description>AI alignment and reward balance analysis for reinforcement learning systems</description>
<author>support@rewardguard.ai</author>      <pubDate>Mon, 06 Apr 2026 22:02:55 GMT</pubDate>
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