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 # Sphinx build info version 1
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@@ -356,7 +356,7 @@ <h1>MO-Gymnasium 1.0.0 Release Notes</h1>
 <span class="pl-s1">reward</span> <span class="pl-c1">=</span> <span class="pl-s1">forward_reward</span> <span class="pl-c1">-</span> <span class="pl-s1">ctrl_cost</span></pre></div>
 <p>With MORL, users have the flexibility to determine the compromises they desire based on their preferences for each objective. Consequently, the environments in MO-Gymnasium do not have predefined weights. Thus, MO-Gymnasium extends the capabilities of <a href="https://gymnasium.farama.org/" rel="nofollow">Gymnasium</a> to the multi-objective setting, where the agents receives a vectorial reward.</p>
 <p>For example, here is an illustration of the multiple policies learned by an MORL agent for the <code>mo-halfcheetah</code> domain, balancing between saving battery and speed:</p>
-<p><a target="_blank" rel="noopener noreferrer" href="https://github.com/Farama-Foundation/MO-Gymnasium/assets/11799929/10796cae-6f84-4690-8e17-d23f792c32c2"><img src="https://github.com/Farama-Foundation/MO-Gymnasium/assets/11799929/10796cae-6f84-4690-8e17-d23f792c32c2" width="400" style="max-width: 100%;"></a></p> 
+<a target="_blank" rel="noopener noreferrer" href="https://private-user-images.githubusercontent.com/11799929/245189948-10796cae-6f84-4690-8e17-d23f792c32c2.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.fne_J-rAYuTYOtNaqsXnuSs-cAocP8HHHuh6Lqm5UOg"><img src="https://private-user-images.githubusercontent.com/11799929/245189948-10796cae-6f84-4690-8e17-d23f792c32c2.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.fne_J-rAYuTYOtNaqsXnuSs-cAocP8HHHuh6Lqm5UOg" width="400" content-type-secured-asset="image/gif" style="max-width: 100%;"></a> 
 <p>This release marks the first mature version of MO-Gymnasium within Farama, indicating that the API is stable, and we have achieved a high level of quality in this library.</p>
 <h2>API</h2>
 <div class="highlight highlight-source-python notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="import gymnasium as gym