Deploying to gh-pages from @ 503dbf0 🚀

main/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 4ef59d6323d81594d2ace640fda32d44
+config: 72d479f674aea13a8e92cbf9c771e260
 tags: d77d1c0d9ca2f4c8421862c7c5a0d620

main/environments/breakable-bottles/index.html

@@ -332,7 +332,7 @@ <h1>Breakable-Bottles<a class="headerlink" href="#breakable-bottles" title="Link
 <td><p>Discrete(3)</p></td>
 </tr>
 <tr class="row-odd"><td><p>Observation Space</p></td>
-<td><p>Dict(‘bottles_carrying’: Discrete(3), ‘bottles_delivered’: Discrete(2), ‘bottles_dropped’: MultiBinary(3), ‘location’: Discrete(5))</p></td>
+<td><p>Dict(‘bottles_carrying’: Discrete(3), ‘bottles_delivered’: Discrete(3), ‘bottles_dropped’: MultiBinary(3), ‘location’: Discrete(5))</p></td>
 </tr>
 <tr class="row-even"><td><p>Reward Shape</p></td>
 <td><p>(3,)</p></td>
@@ -369,9 +369,12 @@ <h2>Observation Space<a class="headerlink" href="#observation-space" title="Link
 <ul class="simple">
 <li><p>location: the current location of the agent</p></li>
 <li><p>bottles_carrying: the number of bottles the agent is currently carrying (0, 1 or 2)</p></li>
-<li><p>bottles_delivered: the number of bottles the agent has delivered (0 or 1)</p></li>
+<li><p>bottles_delivered: the number of bottles the agent has delivered (0, 1 or 2)</p></li>
 <li><p>bottles_dropped: for each location, a boolean flag indicating if that location currently contains a bottle</p></li>
 </ul>
+<p>Note that this observation space is different from that listed in the paper above. In the paper, bottles_delivered’s possible values are listed as (0 or 1),
+rather than (0, 1 or 2). This is because the paper did not take the terminal state, in which 2 bottles have been delivered, into account when calculating
+the observation space. As such, the observation space of this implementation is larger than specified in the paper, having 360 possible states instead of 240.</p>
 </section>
 <section id="reward-space">
 <h2>Reward Space<a class="headerlink" href="#reward-space" title="Link to this heading">#</a></h2>

main/release_notes/index.html

@@ -390,7 +390,7 @@ <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>
-<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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.qJi9K5AeF-JptMPSfC2I4-0tdAYFVjqMnsbGnVjIQ-s"><img src="https://private-user-images.githubusercontent.com/11799929/245189948-10796cae-6f84-4690-8e17-d23f792c32c2.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTA3ODI4OTEsIm5iZiI6MTcxMDc4MjU5MSwicGF0aCI6Ii8xMTc5OTkyOS8yNDUxODk5NDgtMTA3OTZjYWUtNmY4NC00NjkwLThlMTctZDIzZjc5MmMzMmMyLmdpZj9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNDAzMTglMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjQwMzE4VDE3MjMxMVomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPWUxMmQyZDZhNWNlMzdmNjJjN2JjNTRmYTc0MDg1NGNlMzQzYzI2ZjlkYTcyZDkyOWZlOTVmNzVlZGM3ZWEyODYmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0JmFjdG9yX2lkPTAma2V5X2lkPTAmcmVwb19pZD0wIn0.qJi9K5AeF-JptMPSfC2I4-0tdAYFVjqMnsbGnVjIQ-s" width="400" content-type-secured-asset="image/gif" style="max-width: 100%;"></a> 
+<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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.XuL6KGCVdDeLGdDtLaWFn0GxO8leSj9sa3OQMFgHFUs"><img src="https://private-user-images.githubusercontent.com/11799929/245189948-10796cae-6f84-4690-8e17-d23f792c32c2.gif?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.XuL6KGCVdDeLGdDtLaWFn0GxO8leSj9sa3OQMFgHFUs" 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