4 papers
On finite-horizon approximation of an infinite-horizon feedback Nash equilibrium in discrete-time LQ games
Shengyuan Huang, Xiaoguang Yang, Yifen Mu +1
In infinite-horizon discrete-time linear-quadratic (LQ) dynamic games, computing feedback Nash equilibria (FNEs) remains computationally challenging. Motivated by this, we study a…
Linear-Quadratic Discrete-Time Dynamic Games with Unknown Dynamics
Shengyuan Huang, Xiaoguang Yang, Zhigang Cao +1
Considering linear-quadratic discrete-time games with unknown input/output/state (i/o/s) dynamics and state, we provide necessary and sufficient conditions for the existence and un…
Discovering Mechanistic Causality from Time Series: A Behavioral-System Approach
Yingzhu Liu, Shengyuan Huang, Zhongkui Li +2
Identifying ``true causality'' is a fundamental challenge in complex systems research. Widely adopted methods, like the Granger causality test, capture statistical dependencies bet…
Mechanism Design in Max-Flows
Shengyuan Huang, Wenjun Mei, Xiaoguang Yang +1
This paper studies allocation mechanisms in max-flow games with players' capacities as private information. We first show that no core-selection mechanism is truthful: there may ex…