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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Action Model - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="weij06SDKX"&gt;&lt;a href="https://glosarix.com/en/glossary/action-model-en/"&gt;Action Model&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/action-model-en/embed/#?secret=weij06SDKX" width="600" height="338" title="&#x201C;Action Model&#x201D; &#x2014; Glosarix" data-secret="weij06SDKX" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: The &#x2018;Action Model&#x2019; in the context of reinforcement learning refers to a representation that describes how actions taken by an agent affect its environment. This model is fundamental for the agent to learn to make optimal decisions through experience. Essentially, the action model allows the agent to predict the consequences of its actions, which [&hellip;]</description></oembed>
