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title: README
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sdk: static
pinned: false
---

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# HIVEX
_Multi-Agent Reinforcement Learning environment suite with a focus on critical ecological challenges._

## About
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_**.

## Train & Test Scripts: https://github.com/hivex-research/hivex

## Available Environments: https://github.com/hivex-research/hivex-environments

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    <th style="width: 20%;"> </th>
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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>
    <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>
    <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>
    <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>
    <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>Wind Farm Control</td>
    <td>Wildfire Resource Management</td>
    <td>Drone-Based Reforestation</td>
    <td>Ocean Plastic Collection</td>
    <td>Aerial WildFire Suppression</td>
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    <td><code>WFC</code></td>
    <td><code>WRM</code></td>
    <td><code>DBR</code></td>
    <td><code>OPC</code></td>
    <td><code>AWS</code></td>
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    <td>Task Count / Patterns</td>
    <td>Task Count / Difficulty Levels</td>
    <td>Task Count / Difficulty Levels</td>
    <td>Task Count / Difficulty Levels</td>
    <td>Task Count / Difficulty Levels</td>
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    <td><code>2</code> / <code>9</code></td>
    <td><code>3</code> / <code>10</code></td>
    <td><code>7</code> / <code>10</code></td>
    <td><code>4</code> / <code>-</code></td>
    <td><code>9</code> / <code>10</code></td>
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