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  "access_rights": "",
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  "author": "Romina Mir",
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  "author": "Romina Mir",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2407.18913",
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    "https://doi.org/10.48550/arXiv.2407.18913",
            
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    "https://doi.org/10.48550/arXiv.2002.02418"
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    "https://doi.org/10.48550/arXiv.2002.02418"
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2106.10533",
            
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  "doi": "10.57702/tlc7o7tf",
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  "doi": "10.57702/tlc7o7tf",
            
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  "doi_date_published": "2024-12-17",
            
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    {
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    {
            
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      "extra_author": "Ali Marjaninejad",
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      "extra_author": "Ali Marjaninejad",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Francisco J. Valero-Cuevas",
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      "extra_author": "Francisco J. Valero-Cuevas",
            
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      "title": "Manipulation"
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      "title": "Manipulation"
            
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      "name": "reinforcement-learning",
            
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  "name": "mujoco-environment",
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  "name": "mujoco-environment",
            
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  "notes": "The dataset used in the paper is a MuJoCo environment, 
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  "notes": "The dataset used in the paper is a MuJoCo environment, 
            
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with 13-states and 4-control inputs, nonlinear dynamics with 
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with 13-states and 4-control inputs, nonlinear dynamics with 
            
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polynomial dependency in the control inputs.",
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polynomial dependency in the control inputs.",
            
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}
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}