9 papers
Learning Ordinal Response Policies in Rank-Based Stochastic Prize-Collecting Games
Malintha Fernando, Petter Ãgren, Silun Zhang
The Team Orienteering Problem (TOP) generalizes many real-world multi-agent scheduling and routing tasks that occur in autonomous mobility, aerial logistics, and surveillance appli…
A No-Regret Framework for Adaptive Incentive Design
Georgios Vasileiou, Lantian Zhang, Silun Zhang
Incentive design studies how a central authority can influence strategic agents through payments, subsidies, or taxes, so that individual objectives align with collective welfare.…
Hyperedge approximation for stochastic processes on higher-order networks
Anzhi Sheng, Alex McAvoy, Ye Tian +3
Graphs are a standard framework for describing dynamical processes shaped by pairwise interactions among agents. But many systems involve interactions in groups of three or more ag…
Incentive Design without Hypergradients: A Social-Gradient Method
Georgios Vasileiou, Lantian Zhang, Silun Zhang
Incentive design problems consider a system planner who steers self-interested agents toward a socially optimal Nash equilibrium by issuing incentives in the presence of informatio…
Stochastic Adaptive Control for Systems with Nonlinear Parameterization: Almost Sure Stability and Tracking
Lantian Zhang, Bo Wahlberg, Silun Zhang
This paper concerns the adaptive control problem for a class of nonlinear stochastic systems in which the state update is given by a nonlinear function of linear dynamics plus addi…
Adaptive Incentive Design with Regret Minimization
Georgios Vasileiou, Lantian Zhang, Silun Zhang
Incentive design constitutes a foundational paradigm for influencing the behavior of strategic agents, wherein a system planner (principal) publicly commits to an incentive mechani…