Kshitij Kulkarni

Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents

Decision-makers often adaptively influence downstream competitive agents' behavior to minimize their cost, yet in doing so face critical challenges: $(i)$ decision-makers might not *a priori* know the agents' objectives; $(ii)$ agents might *learn* their responses, introducing stochasticity and non…