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  "author": "Pierre Liotet",
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  "author": "Pierre Liotet",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2112.06625",
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  "defined_in": "https://doi.org/10.48550/arXiv.2112.06625",
            
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  "doi": "10.57702/ron28kil",
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  "doi": "10.57702/ron28kil",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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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": "Francesco Vidaich",
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      "extra_author": "Francesco Vidaich",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alberto Maria Metelli",
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      "extra_author": "Alberto Maria Metelli",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Marcello Restelli",
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      "extra_author": "Marcello Restelli",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Lifelong Learning",
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      "display_name": "Lifelong Learning",
            
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      "name": "lifelong-learning",
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      "name": "lifelong-learning",
            
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      "title": "Lifelong Learning"
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      "title": "Lifelong Learning"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Reinforcement Learning",
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      "name": "reinforcement-learning",
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      "name": "reinforcement-learning",
            
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      "title": "Reinforcement Learning"
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  "name": 
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  "name": 
            
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lifelong-hyper-policy-optimization-with-multiple-importance-sampling",
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lifelong-hyper-policy-optimization-with-multiple-importance-sampling",
            
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  "notes": "The authors propose a lifelong RL approach that learns a 
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  "notes": "The authors propose a lifelong RL approach that learns a 
            
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hyper-policy, whose input is time, that outputs the parameters of the 
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hyper-policy, whose input is time, that outputs the parameters of the 
            
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policy to be queried at that time.",
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policy to be queried at that time.",
            
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      "display_name": "hyper-policy optimization",
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  ],
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  ],
            
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  "title": "Lifelong Hyper-Policy Optimization with Multiple 
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  "title": "Lifelong Hyper-Policy Optimization with Multiple 
            
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Importance Sampling",
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Importance Sampling",
            
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  "version": ""
            
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}
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}