most citedGlobal Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2026

Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

Stéphane Eilles-Chan Way, Hugo Percot, Quentin Cappart +2

Decision-focused learning has shown great promise for addressing predict-then-optimize problems, particularly in the presence of under-specified models. However, its practical depl…

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…