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    <title>PyPI recent updates for rlgym</title>
    <link>https://pypi.org/project/rlgym/</link>
    <description>Recent updates to the Python Package Index for rlgym</description>
    <language>en</language>    <item>
      <title>2.0.1</title>
      <link>https://pypi.org/project/rlgym/2.0.1/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Sun, 27 Apr 2025 14:44:27 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/rlgym/2.0.0/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Mon, 06 Jan 2025 18:40:24 GMT</pubDate>
    </item>    <item>
      <title>2.0.0rc0</title>
      <link>https://pypi.org/project/rlgym/2.0.0rc0/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Sat, 18 May 2024 16:57:14 GMT</pubDate>
    </item>    <item>
      <title>2.0.0a3</title>
      <link>https://pypi.org/project/rlgym/2.0.0a3/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Wed, 23 Aug 2023 18:41:58 GMT</pubDate>
    </item>    <item>
      <title>2.0.0a2</title>
      <link>https://pypi.org/project/rlgym/2.0.0a2/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Sun, 20 Aug 2023 17:15:26 GMT</pubDate>
    </item>    <item>
      <title>2.0.0a1</title>
      <link>https://pypi.org/project/rlgym/2.0.0a1/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Sun, 20 Aug 2023 12:57:16 GMT</pubDate>
    </item>    <item>
      <title>2.0.0a0</title>
      <link>https://pypi.org/project/rlgym/2.0.0a0/</link>
      <description>A python API with zero dependencies to create fully customizable environments for Reinforcement Learning projects.</description>
<author>contact@rlgym.org</author>      <pubDate>Sat, 19 Aug 2023 21:10:53 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/rlgym/1.2.2/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sat, 29 Jul 2023 21:33:25 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/rlgym/1.2.1/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Mon, 12 Jun 2023 22:11:32 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/rlgym/1.2.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Mon, 16 May 2022 18:15:23 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/rlgym/1.1.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Fri, 26 Nov 2021 19:13:36 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/rlgym/1.0.1/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Wed, 15 Sep 2021 00:31:43 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/rlgym/1.0.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Fri, 27 Aug 2021 14:17:45 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/rlgym/0.6.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Thu, 22 Jul 2021 20:09:59 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/rlgym/0.5.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Tue, 13 Jul 2021 21:13:11 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/rlgym/0.4.1/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sun, 25 Apr 2021 23:44:47 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/rlgym/0.4.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Wed, 07 Apr 2021 22:26:12 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/rlgym/0.3.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Wed, 31 Mar 2021 18:12:18 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/rlgym/0.2.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sun, 14 Mar 2021 15:14:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/rlgym/0.1.4/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sun, 14 Mar 2021 12:57:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/rlgym/0.1.3/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Mon, 08 Mar 2021 22:42:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/rlgym/0.1.2/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sun, 07 Mar 2021 18:16:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/rlgym/0.1.1/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sat, 06 Mar 2021 22:20:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/rlgym/0.1.0/</link>
      <description>A python API that can be used to treat the game Rocket League as an Openai Gym-like environment for Reinforcement Learning projects.</description>
      <pubDate>Sat, 06 Mar 2021 21:55:03 GMT</pubDate>
    </item>  </channel>
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