Finding appropriate incentives to enforce collaborative efforts for governing the commons in
risky situations is a long-lasting challenge. Previous works have demonstrated that both …

This paper investigates the convergence of learning dynamics in Stackelberg games. In the
class of games we consider, there is a hierarchical game being played between a leader …

Critical sectors of human society are progressing toward the adoption of powerful artificial
intelligence (AI) agents, which are trained individually on behalf of self-interested principals …

Are rewards or penalties more effective in influencing user behavior? This article compares
the effectiveness of subsidies and tolls in incentivizing user behavior in congestion games …

Bilevel optimization has been recently applied to many machine learning tasks. However,
their applications have been restricted to the supervised learning setting, where static …

It is well-known that system performance can experience significant degradation from the
self-interested choices of human users. Accordingly, in this article, we study the question of …

This article presents the equilibrium analysis of a game composed of heterogeneous electric
vehicles (EVs) and a power distribution system operator (DSO) as the players, and charging …

Achieving fairness in sequential-decision making systems within Human-in-the-Loop (HITL)
environments is a critical concern, especially when multiple humans with different behavior …

When humans interact with robots influence is inevitable. Consider an autonomous car
driving near a human: the speed and steering of the autonomous car will affect how the …

Pay-for-outcome financing mechanisms have been used to address agricultural runoffs to
overcome the inefficiencies associated with push-based solutions, which are dependent on …