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    <title>PyPI recent updates for erl-trainer</title>
    <link>https://pypi.org/project/erl-trainer/</link>
    <description>Recent updates to the Python Package Index for erl-trainer</description>
    <language>en</language>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/erl-trainer/0.4.1/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Mon, 16 Mar 2026 02:36:14 GMT</pubDate>
    </item>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/erl-trainer/0.3.6/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Mon, 16 Mar 2026 01:58:34 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/erl-trainer/0.4.0/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 12:31:02 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/erl-trainer/0.3.5/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 11:05:04 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/erl-trainer/0.3.4/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 09:45:18 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/erl-trainer/0.3.3/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 08:09:22 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/erl-trainer/0.3.2/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 07:55:35 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/erl-trainer/0.3.1/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 06:57:44 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/erl-trainer/0.2.2/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 02:51:38 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/erl-trainer/0.2.1/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Sun, 15 Mar 2026 02:27:43 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/erl-trainer/0.2.0/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 23:18:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/erl-trainer/0.1.4/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 13:16:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/erl-trainer/0.1.3/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 12:58:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/erl-trainer/0.1.2/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 12:52:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/erl-trainer/0.1.1/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 12:44:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/erl-trainer/0.1.0/</link>
      <description>Experiential Reinforcement Learning (ERL) — a thin wrapper on HuggingFace TRL&#39;s GRPOTrainer implementing the ERL algorithm with reflection, memory, and internalization.</description>
      <pubDate>Fri, 27 Feb 2026 12:27:22 GMT</pubDate>
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