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  "author": "Shashank Hegde",
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  "author": "Shashank Hegde",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2305.18738",
            
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  "doi": "10.57702/64ibc38o",
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  "doi": "10.57702/64ibc38o",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Sumeet Batra",
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      "extra_author": "Sumeet Batra",
            
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    },
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    {
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      "extra_author": "K.R. Zentner",
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      "extra_author": "K.R. Zentner",
            
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    },
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    },
            
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    {
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      "extra_author": "Gaurav S. Sukhatme",
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      "extra_author": "Gaurav S. Sukhatme",
            
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      "orcid": ""
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      "orcid": ""
            
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  ],
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      "description": "",
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      "description": "",
            
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      "display_name": "Diffusion Models",
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      "display_name": "Diffusion Models",
            
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      "name": "quality-diversity",
            
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      "title": "Quality-Diversity"
            
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      "description": "",
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      "description": "",
            
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      "name": "reinforcement-learning",
            
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      "title": "Reinforcement Learning"
            
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  "name": "archive-distillation",
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  "name": "archive-distillation",
            
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  "notes": "The archive A contains policies parameterized by deep 
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  "notes": "The archive A contains policies parameterized by deep 
            
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neural networks and trained via a state of the art QD-RL method 
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neural networks and trained via a state of the art QD-RL method 
            
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PPGA.",
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PPGA.",
            
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