4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.DC2021
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping
Tanvir Ahamed, Bo Zou
With rapid e-commerce growth, on-demand urban delivery is having a high time especially for food, grocery, and retail, often requiring delivery in a very short amount of time after…
cs.AI2020★ 4 cited
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
Tanvir Ahamed, Bo Zou, Nahid Parvez Farazi +1
This paper investigates the problem of assigning shipping requests to ad hoc couriers in the context of crowdsourced urban delivery. The shipping requests are spatially distributed…
cs.LG2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi, Tanvir Ahamed, Limon Barua +1
Deep reinforcement learning (DRL) is an emerging methodology that is transforming the way many complicated transportation decision-making problems are tackled. Researchers have bee…