Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science | Zendy

Avi Segal | Zendy; Kobi Gal | Zendy; Ece Kamar | Zendy; Eric Horvitz | Zendy; Grant Miller | Zendy

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Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science

Author(s) -

Avi Segal,

Kobi Gal,

Ece Kamar,

Eric Horvitz,

Grant Miller

Publication year - 2018

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - Uncategorized

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v32i1.11489

Subject(s) - crowdsourcing , intervention (counseling) , reinforcement learning , computer science , session (web analytics) , set (abstract data type) , citizen science , representation (politics) , domain (mathematical analysis) , psychological intervention , trajectory , artificial intelligence , machine learning , human–computer interaction , psychology , world wide web , political science , mathematical analysis , botany , physics , mathematics , astronomy , psychiatry , politics , law , biology , programming language

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