9 papers
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
In incentive design problems, a system planner seeks to steer self-interested agents toward a socially optimal Nash equilibrium by issuing incentives in the presence of information…
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…
Self-Identifying Internal Model-Based Online Optimization
Wouter J. A. van Weerelt, Lantian Zhang, Silun Zhang +1
In this paper, we propose a novel online optimization algorithm built by combining ideas from control theory and system identification. The foundation of our algorithm is a control…
Learning Ordinal Response Policies in Rank-Based Stochastic Prize-Collecting Games
Malintha Fernando, Petter Ögren, 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…
Collective decision-making dynamics in hypernetworks
Angela Fontan, Silun Zhang
This work describes a collective decision-making dynamical process in a multiagent system under the assumption of cooperative higher-order interactions within the community, modele…
Online Learning for Nonlinear Dynamical Systems without the I.I.D. Condition
Lantian Zhang, Silun Zhang
This paper investigates online identification and prediction for nonlinear stochastic dynamical systems. In contrast to offline learning methods, we develop online algorithms that…