1 citations · 1 across the 3 of their papers we have counts for
9 papers
Gray-Box Nonlinear Feedback Optimization
Zhiyu He, Saverio Bolognani, Michael Muehlebach +1
Feedback optimization enables autonomous optimality seeking of a dynamical system through its closed-loop interconnection with iterative optimization algorithms. Among various iter…
Load Management of Distribution Systems via Online Dynamic Pricing
Jiarui Yu, Zhiyu He, Wenbin Wang +3
The growing adoption of electric vehicles (EVs) is increasing peak demand in distribution systems, which can threaten grid stability and reduce operational efficiency. Dynamic elec…
Hierarchical Strategic Decision-Making in Layered Mobility Systems
Mingjia He, Zhiyu He, Jan Ghadamian +3
Mobility systems are complex socio-technical environments influenced by multiple stakeholders with hierarchically interdependent decisions, rendering effective control and policy d…
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
Michael Muehlebach, Zhiyu He, Michael I. Jordan
We study the sample complexity of online reinforcement learning in the general \hzyrev{non-episodic} setting of nonlinear dynamical systems with continuous state and action spaces.…
Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
Winnie Chan, Zhiyu He, Keith Moffat +3
Feedback optimization optimizes the steady state of a dynamical system by implementing optimization iterations in closed loop with the plant. It relies on online measurements and l…
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
Zhiyu He, Saverio Bolognani, Florian Dörfler +1
Distribution shifts have long been regarded as troublesome external forces that a decision-maker should either counteract or conform to. An intriguing feedback phenomenon termed de…