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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Wenjie Shi",
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  "author": "Wenjie Shi",
            
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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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  "defined_in": "https://doi.org/10.48550/arXiv.2003.07069",
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  "defined_in": "https://doi.org/10.48550/arXiv.2003.07069",
            
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  "doi": "10.57702/5k1a2j7m",
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  "doi": "10.57702/5k1a2j7m",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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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": "Gao Huang",
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      "extra_author": "Gao Huang",
            
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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": "Shiji Song",
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      "extra_author": "Shiji Song",
            
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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": "Zhuoyuan Wang",
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      "extra_author": "Zhuoyuan Wang",
            
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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": "Tingyu Lin",
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      "extra_author": "Tingyu Lin",
            
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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": "Cheng Wu",
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      "extra_author": "Cheng Wu",
            
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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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    {
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      "description": "",
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      "description": "",
            
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      "name": "attention-mechanisms",
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      "name": "attention-mechanisms",
            
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      "title": "Attention Mechanisms"
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      "title": "Attention Mechanisms"
            
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    {
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      "description": "",
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      "description": "",
            
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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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      "title": "Reinforcement Learning"
            
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  "metadata_created": "2024-12-16T17:52:53.108251",
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  "name": "duckietown-environment",
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  "name": "duckietown-environment",
            
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  "notes": "The dataset used in this paper is a collection of 
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  "notes": "The dataset used in this paper is a collection of 
            
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state-action pairs generated by a pre-trained RL agent, used to train 
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state-action pairs generated by a pre-trained RL agent, used to train 
            
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a self-supervised interpretable network (SSINet) to produce attention 
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a self-supervised interpretable network (SSINet) to produce attention 
            
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masks for explaining the agent's decisions.",
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masks for explaining the agent's decisions.",
            
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distributions based on DCAT.",
            
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      "id": "aff0341d-7761-4f20-8bf4-3473da1cc9f9",
            
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      "last_modified": "2024-12-16T17:52:53.482426",
            
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      "display_name": "Attention masks",
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    },
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      "display_name": "Duckietown environment",
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      "display_name": "Duckietown environment",
            
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      "name": "Duckietown environment",
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  ],
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  ],
            
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  "title": "Duckietown environment",
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  "title": "Duckietown environment",
            
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  "type": "dataset",
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  "version": ""
            
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}
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}