5 papers
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…
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…
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…