5 papers
Resource-Splitting Games with Tullock-Based Lossy Contests
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
This paper introduces a novel class of multi-stage resource allocation games that model real-world scenarios in which profitability depends on the balance between supply and demand…
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
Anna Maddux, Marko Maljkovic, Nikolas Geroliminis +1
We consider the problem of efficiently learning to play single-leader multi-follower Stackelberg games when the leader lacks knowledge of the lower-level game. Such games arise in…
On Learning-Based Traffic Monitoring With a Swarm of Drones
Marko Maljkovic, Nikolas Geroliminis
Efficient traffic monitoring is crucial for managing urban transportation networks, especially under congested and dynamically changing traffic conditions. Drones offer a scalable…
Receding-Horizon Games with Tullock-Based Profit Functions for Electric Ride-Hailing Markets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
This paper proposes a receding-horizon, game-theoretic charging planning mechanism for electric ride-hailing markets. As the demand for ride-hailing services continues to surge and…
A Pricing Mechanism for Balancing the Charging of Ride-Hailing Electric Vehicle Fleets
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Both ride-hailing services and electric vehicles are becoming increasingly popular and it is likely that charging management of the ride-hailing vehicles will be a significant part…