Author

M. Roghani

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Preprint Oct 2026

Deterministic Stackelberg Strategies in Robotaxi Assignment Games

This work model this competition as a zero-sum robotaxi assignment game, focusing on computing optimal deterministic Stackelberg strategies for the leader, and provides an exact polynomial-time dynamic programming algorithm for computing the optimal Stackelberg payoff when riders and vehicles are on the Euclidean line.

Ioannis Caragiannis, Kostas Kollias, M. Roghani et al. · 0 citations

Preprint Sep 2026

Locally Sparsified, Globally Near-Optimal: Matching under Independent Vertex Arrivals

Resource allocation systems often restrict each request to a short list of options before coordinating assignments globally. We study this separation in stochastic bipartite matching under independent vertex arrivals. Each request draws a state from its own known distribution, determining its compatible resources, and...

Sara Ahmadian, Edith Cohen, M. Roghani · 0 citations