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@@ -41,11 +41,18 @@ The motivation of the hivex suite is to provide advanced reinforcement learning
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<td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_AerialWildfireSuppression/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/AWS_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Aerial Wildfire Suppression"></a></td>
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<td><code>2</code> / <code>9</code></td>
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<td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_AerialWildfireSuppression/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/AWS_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Aerial Wildfire Suppression"></a></td>
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<td><code>Wind Farm Control</code></td>
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<td><code>Wildfire Resource Management</code></td>
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<td><code>Drone-Based Reforestation</code></td>
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<td><code>Ocean Plastic Collection</code></td>
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<td><code>Aerial WildFire Suppression</code></td>
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<td>Task Count / Patterns</td>
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<td>Task Count / Difficulty Levels</td>
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<td>Task Count / Difficulty Levels</td>
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<td>Task Count / Difficulty Levels</td>
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<td>Task Count / Difficulty Levels</td>
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<td><code>2</code> / <code>9</code></td>
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