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{
    "pk": 29907,
    "title": "Leveraging Machine Learning to Automatically Derive Robust Planning Strategiesfrom Biased Models of the Environment",
    "subtitle": null,
    "abstract": "Teaching clever heuristics is a promising approach to improvedecision-making. We can leverage machine learning to dis-cover clever strategies automatically. Current methods requirean accurate model of the decision problems people face inreal life. But most models are misspecified because of lim-ited information and cognitive biases. To address this prob-lem we develop strategy discovery methods that are robustto model misspecification. Robustness is achieved by model-ing model-misspecification and handling uncertainty about thereal-world according to Bayesian inference. We translate ourmethods into an intelligent tutor that automatically discoversand teaches robust planning strategies. Our robust cognitivetutor significantly improved human decision-making when themodel was so biased that conventional cognitive tutors were nolonger effective. These findings highlight that our robust strat-egy discovery methods are a significant step towards leverag-ing artificial intelligence to improve human decision-makingin the real world.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "automatic strategy discovery; cognitive tutors; ro-bust reinforcement learning; decision-making"
        }
    ],
    "section": "Poster Session 2",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/91q6r08m",
    "frozenauthors": [
        {
            "first_name": "Anirudha",
            "middle_name": "",
            "last_name": "Kemtur",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "department": ""
        },
        {
            "first_name": "Yash",
            "middle_name": "Raj",
            "last_name": "Jain",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "department": ""
        },
        {
            "first_name": "Aashay",
            "middle_name": "",
            "last_name": "Mehta",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "department": ""
        },
        {
            "first_name": "Frederick",
            "middle_name": "",
            "last_name": "Callaway",
            "name_suffix": "",
            "institution": "Princeton University",
            "department": ""
        },
        {
            "first_name": "Saksham",
            "middle_name": "",
            "last_name": "Consul",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "department": ""
        },
        {
            "first_name": "Jugoslav",
            "middle_name": "",
            "last_name": "Stojcheski",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "department": ""
        },
        {
            "first_name": "Falk",
            "middle_name": "",
            "last_name": "Lieder",
            "name_suffix": "",
            "institution": "Max Planck Institute for Intelligent Systems",
            "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/29907/galley/19761/download/"
        }
    ]
}