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    <title>PyPI recent updates for cusrl</title>
    <link>https://pypi.org/project/cusrl/</link>
    <description>Recent updates to the Python Package Index for cusrl</description>
    <language>en</language>    <item>
      <title>1.1.9.post0</title>
      <link>https://pypi.org/project/cusrl/1.1.9.post0/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Tue, 24 Mar 2026 09:18:41 GMT</pubDate>
    </item>    <item>
      <title>1.1.9</title>
      <link>https://pypi.org/project/cusrl/1.1.9/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Sat, 14 Mar 2026 04:57:52 GMT</pubDate>
    </item>    <item>
      <title>1.1.8.post0</title>
      <link>https://pypi.org/project/cusrl/1.1.8.post0/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Tue, 10 Feb 2026 09:12:02 GMT</pubDate>
    </item>    <item>
      <title>1.1.7</title>
      <link>https://pypi.org/project/cusrl/1.1.7/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Fri, 02 Jan 2026 09:21:18 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/cusrl/1.1.6/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Thu, 20 Nov 2025 02:55:16 GMT</pubDate>
    </item>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/cusrl/1.1.5/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Wed, 01 Oct 2025 08:16:59 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/cusrl/1.1.4/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Fri, 26 Sep 2025 09:53:56 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/cusrl/1.1.3/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Sat, 13 Sep 2025 12:34:39 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/cusrl/1.1.2/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Wed, 20 Aug 2025 13:27:50 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/cusrl/1.1.1/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Mon, 11 Aug 2025 11:34:34 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/cusrl/1.1.0/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Sun, 03 Aug 2025 15:37:26 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/cusrl/1.0.2/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Mon, 28 Jul 2025 02:13:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/cusrl/1.0.1/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Wed, 23 Jul 2025 11:21:17 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/cusrl/1.0.0/</link>
      <description>Customizable and modular RL algorithms implemented in PyTorch</description>
<author>jewel@zju.edu.cn</author>      <pubDate>Mon, 21 Jul 2025 06:55:55 GMT</pubDate>
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