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@@ -20,9 +20,41 @@ _Multi-Agent Reinforcement Learning environment suite with a focus on critical e
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  The motivation of the hivex suite is to provide advanced reinforcement learning benchmarking environments with an emphasis on: (1) **_real-world_** scenarios, (2) **_multi-agent_** systems, (3) investigating problems and solutions with **_high impact on society_**.
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  ## Available Environments
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- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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- | <a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_WindFarmControl/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/WFC_thumb.jpg" style="width:200px; height:150px; object-fit: cover; border-radius:10px;" alt="Wind Farm Control"></a> | <a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_WilfireResourceManagement/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/WRM_thumb.jpg" style="width:200px; height:150px; object-fit: cover; border-radius:10px;" alt="Wildfire Resource Management"></a> | <a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_DroneBasedReforestation/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/DBR_thumb.jpg" style="width:200px; height:150px; object-fit: cover; border-radius:10px;" alt="Drone-Based Reforestation"></a> | <a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_OceanPlasticCollection/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/OPC_thumb.jpg" style="width:200px; height:150px; object-fit: cover; border-radius:10px;" alt="Ocean Plastic Collection"></a> | <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:200px; height:150px; object-fit: cover; border-radius:10px;" alt="Aerial Wildfire Suppression"></a> |
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- | <code>WindFarmControl</code> | <code>WildfireResourceManagement</code> | <code>DroneBasedReforestation</code> | <code>OceanPlasticCollection</code> | <code>AerialWildFireSuppression</code>|
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- | **Tasks / Patterns** | **Tasks / Difficulty Levels** | **Tasks / Difficulty Levels** | **Tasks / Difficulty Levels** | **Tasks / Difficulty Levels** |
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- | <code>2</code> / <code>9</code> | <code>3</code> / <code>10</code> | <code>7</code> / <code>10</code> | <code>4</code> / <code>-</code> | <code>9</code> / <code>10</code> |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The motivation of the hivex suite is to provide advanced reinforcement learning benchmarking environments with an emphasis on: (1) **_real-world_** scenarios, (2) **_multi-agent_** systems, (3) investigating problems and solutions with **_high impact on society_**.
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  ## Available Environments
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+ <div style="display: table; width: 100%; table-layout: fixed;">
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+
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+ <table style="width: 100%; table-layout: fixed;">
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+ <thead>
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+ <tr>
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+ <th style="width: 20%;"> </th>
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+ <th style="width: 20%;"> </th>
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+ <th style="width: 20%;"> </th>
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+ <th style="width: 20%;"> </th>
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+ <th style="width: 20%;"> </th>
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+ </tr>
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+ </thead>
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+ <tbody>
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+ <tr>
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+ <td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_WindFarmControl/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/WFC_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Wind Farm Control"></a></td>
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+ <td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_WilfireResourceManagement/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/WRM_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Wildfire Resource Management"></a></td>
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+ <td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_DroneBasedReforestation/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/DBR_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Drone-Based Reforestation"></a></td>
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+ <td><a href="https://github.com/hivex-research/hivex-environments/tree/main/environments/Hivex_OceanPlasticCollection/"><img src="https://raw.githubusercontent.com/hivex-research/hivex/main/docs/images/OPC_thumb.jpg" style="width:auto; height:150px; object-fit: cover; border-radius:10px;" alt="Ocean Plastic Collection"></a></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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+ </tr>
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+ <tr>
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+ <td><code>WindFarmControl</code></td>
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+ <td><code>WildfireResourceManagement</code></td>
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+ <td><code>DroneBasedReforestation</code></td>
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+ <td><code>OceanPlasticCollection</code></td>
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+ <td><code>AerialWildFireSuppression</code></td>
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+ </tr>
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+ <tr>
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+ <td><code>2</code> / <code>9</code></td>
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+ <td><code>3</code> / <code>10</code></td>
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+ <td><code>7</code> / <code>10</code></td>
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+ <td><code>4</code> / <code>-</code></td>
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+ <td><code>9</code> / <code>10</code></td>
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+ </tr>
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+ </tbody>
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+ </table>
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+
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+ </div>