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Tanvir Ahamed 

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Today

T‑2: Regular Session/Freight — Tanvir Ahamed 

Sub­mis­sion: Deep Rein­force­ment Learn­ing for Crowd­sourced Urban Deliv­ery: Sys­tem States Char­ac­ter­i­za­tion, Heuris­tics-guid­ed Action Choice, and Rule-Inter­pos­ing Inte­gra­tion
Pre­sen­ter: Tan­vir Ahamed
Authors: Tan­vir Ahamed (Uni­ver­si­ty of Illi­nois at Chica­go); Bo Zou (Uni­ver­si­ty of Illi­nois at Chica­go)*; Nahid Farazi (Uni­ver­si­ty of Illi­nois at Chica­go); The­ja Tula­band­hu­la (UIC)