3 citations · 6 across the 5 of their papers we have counts for
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cs.LG2023★ 2 cited
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Heiko Hoppe, Tobias Enders, Quentin Cappart +1
We study vehicle dispatching in autonomous mobility on demand (AMoD) systems, where a central operator assigns vehicles to customer requests or rejects these with the aim of maximi…
eess.SY2023★ 3 cited
Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets
Julius Luy, Gerhard Hiermann, Maximilian Schiffer
Nowadays, logistics service providers (LSPs) increasingly consider using a crowdsourced workforce on the last mile to fulfill customers' expectations regarding same-day or on-deman…