5 papers · 1 filter
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 Blotto Game Approach to Ride-hailing Markets with Electric Vehicles
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
When a centrally operated ride-hailing company considers to enter a market already served by another company, it has to make a strategic decision about how to distribute its fleet…
On decentralized computation of the leader's strategy in bi-level games
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
Motivated by the omnipresence of hierarchical structures in many real-world applications, this study delves into the intricate realm of bi-level games, with a specific focus on exp…