activity
20242026
most citedA Large-Scale Analysis on the Use of Arrival Time Prediction for Automated Shuttle Services in the Real World

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2026 · cs.LGShow all

1 paper · 2 filters

cs.LG2026

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems

Emil Kragh Toft, Carolin Schmidt, Daniele Gammelli +1

Autonomous Mobility-on-Demand (AMoD) systems promise to revolutionize urban transportation by providing affordable on-demand services to meet growing travel demand. However, realis…