<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for ai-hydra</title>
    <link>https://pypi.org/project/ai-hydra/</link>
    <description>Recent updates to the Python Package Index for ai-hydra</description>
    <language>en</language>    <item>
      <title>0.25.2</title>
      <link>https://pypi.org/project/ai-hydra/0.25.2/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 17:02:26 GMT</pubDate>
    </item>    <item>
      <title>0.25.1</title>
      <link>https://pypi.org/project/ai-hydra/0.25.1/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 05:29:36 GMT</pubDate>
    </item>    <item>
      <title>0.25.0</title>
      <link>https://pypi.org/project/ai-hydra/0.25.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 04:25:27 GMT</pubDate>
    </item>    <item>
      <title>0.24.0</title>
      <link>https://pypi.org/project/ai-hydra/0.24.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 01 Apr 2026 16:19:10 GMT</pubDate>
    </item>    <item>
      <title>0.23.3</title>
      <link>https://pypi.org/project/ai-hydra/0.23.3/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sun, 29 Mar 2026 15:09:24 GMT</pubDate>
    </item>    <item>
      <title>0.23.2</title>
      <link>https://pypi.org/project/ai-hydra/0.23.2/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 28 Mar 2026 18:17:18 GMT</pubDate>
    </item>    <item>
      <title>0.23.1</title>
      <link>https://pypi.org/project/ai-hydra/0.23.1/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 28 Mar 2026 15:54:30 GMT</pubDate>
    </item>    <item>
      <title>0.23.0</title>
      <link>https://pypi.org/project/ai-hydra/0.23.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 28 Mar 2026 05:59:40 GMT</pubDate>
    </item>    <item>
      <title>0.22.0</title>
      <link>https://pypi.org/project/ai-hydra/0.22.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Thu, 26 Mar 2026 22:17:57 GMT</pubDate>
    </item>    <item>
      <title>0.21.0</title>
      <link>https://pypi.org/project/ai-hydra/0.21.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Thu, 26 Mar 2026 12:34:23 GMT</pubDate>
    </item>    <item>
      <title>0.20.1</title>
      <link>https://pypi.org/project/ai-hydra/0.20.1/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 25 Mar 2026 14:14:48 GMT</pubDate>
    </item>    <item>
      <title>0.20.0</title>
      <link>https://pypi.org/project/ai-hydra/0.20.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 25 Mar 2026 12:07:08 GMT</pubDate>
    </item>    <item>
      <title>0.19.1</title>
      <link>https://pypi.org/project/ai-hydra/0.19.1/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 21 Mar 2026 18:31:33 GMT</pubDate>
    </item>    <item>
      <title>0.19.0</title>
      <link>https://pypi.org/project/ai-hydra/0.19.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 21 Mar 2026 18:17:41 GMT</pubDate>
    </item>    <item>
      <title>0.18.0</title>
      <link>https://pypi.org/project/ai-hydra/0.18.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Fri, 20 Mar 2026 13:33:18 GMT</pubDate>
    </item>    <item>
      <title>0.17.0</title>
      <link>https://pypi.org/project/ai-hydra/0.17.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 18 Mar 2026 18:44:55 GMT</pubDate>
    </item>    <item>
      <title>0.16.1</title>
      <link>https://pypi.org/project/ai-hydra/0.16.1/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 18 Mar 2026 02:15:09 GMT</pubDate>
    </item>    <item>
      <title>0.16.0</title>
      <link>https://pypi.org/project/ai-hydra/0.16.0/</link>
      <description>A distributed reinforcement learning experimentation platform running in a terminal</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Tue, 17 Mar 2026 20:18:09 GMT</pubDate>
    </item>    <item>
      <title>0.15.0</title>
      <link>https://pypi.org/project/ai-hydra/0.15.0/</link>
      <description>A reinforcement learning experimentation platform for Snake AI with optional lookahead planning and real-time telemetry in a Textual TUI.</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sat, 14 Mar 2026 20:28:12 GMT</pubDate>
    </item>    <item>
      <title>0.14.0</title>
      <link>https://pypi.org/project/ai-hydra/0.14.0/</link>
      <description>A reinforcement learning experimentation platform for Snake AI with optional lookahead planning and real-time telemetry in a Textual TUI.</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Thu, 12 Mar 2026 14:33:04 GMT</pubDate>
    </item>    <item>
      <title>0.13.0</title>
      <link>https://pypi.org/project/ai-hydra/0.13.0/</link>
      <description>A reinforcement learning experimentation platform for Snake AI with optional lookahead planning and real-time telemetry in a Textual TUI.</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Sun, 08 Mar 2026 17:47:59 GMT</pubDate>
    </item>    <item>
      <title>0.12.1</title>
      <link>https://pypi.org/project/ai-hydra/0.12.1/</link>
      <description>A reinforcement learning experimentation platform for Snake AI with optional lookahead planning and real-time telemetry in a Textual TUI.</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Fri, 06 Mar 2026 20:12:41 GMT</pubDate>
    </item>    <item>
      <title>0.12.0</title>
      <link>https://pypi.org/project/ai-hydra/0.12.0/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Fri, 06 Mar 2026 03:33:59 GMT</pubDate>
    </item>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/ai-hydra/0.11.0/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Thu, 05 Mar 2026 19:59:02 GMT</pubDate>
    </item>    <item>
      <title>0.10.0</title>
      <link>https://pypi.org/project/ai-hydra/0.10.0/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Wed, 04 Mar 2026 15:42:41 GMT</pubDate>
    </item>    <item>
      <title>0.9.10</title>
      <link>https://pypi.org/project/ai-hydra/0.9.10/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Tue, 03 Mar 2026 02:09:38 GMT</pubDate>
    </item>    <item>
      <title>0.9.8</title>
      <link>https://pypi.org/project/ai-hydra/0.9.8/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Tue, 03 Mar 2026 00:07:33 GMT</pubDate>
    </item>    <item>
      <title>0.9.7</title>
      <link>https://pypi.org/project/ai-hydra/0.9.7/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Mon, 02 Mar 2026 23:25:02 GMT</pubDate>
    </item>    <item>
      <title>0.9.6</title>
      <link>https://pypi.org/project/ai-hydra/0.9.6/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Mon, 02 Mar 2026 23:11:24 GMT</pubDate>
    </item>    <item>
      <title>0.9.5</title>
      <link>https://pypi.org/project/ai-hydra/0.9.5/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Mon, 02 Mar 2026 23:01:53 GMT</pubDate>
    </item>    <item>
      <title>0.9.3</title>
      <link>https://pypi.org/project/ai-hydra/0.9.3/</link>
      <description>A sophisticated parallel neural network exploration system for Snake Game AI with budget-constrained tree search</description>
<author>nghaznavi@gmail.com</author>      <pubDate>Mon, 02 Mar 2026 16:43:57 GMT</pubDate>
    </item>    <item>
      <title>0.4.12</title>
      <link>https://pypi.org/project/ai-hydra/0.4.12/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Mon, 05 Jan 2026 20:06:24 GMT</pubDate>
    </item>    <item>
      <title>0.4.11</title>
      <link>https://pypi.org/project/ai-hydra/0.4.11/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Mon, 05 Jan 2026 19:43:28 GMT</pubDate>
    </item>    <item>
      <title>0.4.10</title>
      <link>https://pypi.org/project/ai-hydra/0.4.10/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Mon, 05 Jan 2026 19:32:28 GMT</pubDate>
    </item>    <item>
      <title>0.4.9</title>
      <link>https://pypi.org/project/ai-hydra/0.4.9/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Mon, 05 Jan 2026 19:27:41 GMT</pubDate>
    </item>    <item>
      <title>0.4.7</title>
      <link>https://pypi.org/project/ai-hydra/0.4.7/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Mon, 05 Jan 2026 18:52:08 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/ai-hydra/0.4.0/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Sun, 04 Jan 2026 23:57:37 GMT</pubDate>
    </item>    <item>
      <title>0.3.20</title>
      <link>https://pypi.org/project/ai-hydra/0.3.20/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Sun, 04 Jan 2026 21:15:53 GMT</pubDate>
    </item>    <item>
      <title>0.3.19</title>
      <link>https://pypi.org/project/ai-hydra/0.3.19/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Sun, 04 Jan 2026 21:04:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.18</title>
      <link>https://pypi.org/project/ai-hydra/0.3.18/</link>
      <description>ZeroMQ-based client-server communication framework</description>
<author>your.email@example.com</author>      <pubDate>Sun, 04 Jan 2026 19:56:02 GMT</pubDate>
    </item>  </channel>
</rss>