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{
    "pk": 29496,
    "title": "Learning in Social Environments with Curious Neural Agents",
    "subtitle": null,
    "abstract": "From an early age, humans are capable of learning about theirsocial environment, making predictions of how other agentswill operate and decisions about how they themselves will in-teract. In this work, we address the problem of formalizing thelearning principles underlying these abilities. We construct a cu-rious neural agent that can efficiently learn predictive models ofsocial environments that are rich with external agents inspiredby real-world animate behaviors such as peekaboo, chasing,and mimicry. Our curious neural agent consists of a controllerdriven by γ-Progress, a scalable and effective curiosity signal,and a disentangled world model that allocates separate networksfor interdependent components of the world. We show that ourdisentangled curiosity-driven agent achieves higher learning ef-ficiency and prediction performance than strong baselines. Cru-cially, we find that a preference for animate attention emergesnaturally in our model, and is a key driver of performance. Fi-nally we discuss future directions including applications of ourframework to modeling human behavior and designing earlyindicators for developmental variability.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "world models; curiosity; social cognition"
        }
    ],
    "section": "Agend-based Models",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6n36z63m",
    "frozenauthors": [
        {
            "first_name": "Megumi",
            "middle_name": "",
            "last_name": "Sano",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Julian",
            "middle_name": "De",
            "last_name": "Freitas",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        },
        {
            "first_name": "Nick",
            "middle_name": "",
            "last_name": "Haber",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Daniel",
            "middle_name": "L. K.",
            "last_name": "Yamins",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29496/galley/19356/download/"
        }
    ]
}