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croissant.json
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{
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"@context": {
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"@vocab": "https://schema.org/",
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"croissant": "https://w3id.org/croissant/context.jsonld"
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},
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"@type": "Dataset",
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"name": "MORL4Water",
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"description": "MORL4Water is a modular Gymnasium environment for simulating water management in river systems. It is designed for training and evaluating multi-objective reinforcement learning (MORL) agents. It includes configurations for the Nile River Basin, Susquehanna River Basin, and Omo River Basin.",
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"license": "https://opensource.org/licenses/MIT",
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"creator": {
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"@type": "Person",
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"name": "Zuzanna Osika"
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},
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"datePublished": "2025-04-26",
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"version": "1.0.0",
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"citation": "Osika, Z. (2025). MORL4Water: A Gymnasium environment for multi-objective RL. https://huggingface.co/datasets/zosika/morl4water",
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"keywords": [
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"multi-objective reinforcement learning",
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"MORL",
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"Gymnasium",
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"water management",
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"simulation",
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"river systems",
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"environment modeling"
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],
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"hasPart": {
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"@type": "FileSet",
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"name": "Simulation Environment",
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"description": "ZIP archive containing the Gymnasium simulation environment code and configuration files.",
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"hasPart": {
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"@type": "FileObject",
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"name": "morl4water.zip",
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"encodingFormat": "application/zip",
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"contentUrl": "https://huggingface.co/osikazuzanna/morl4water/resolve/main/morl4water.zip"
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}
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}
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}
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