8 papers
Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach
Haosheng Zhou, Ruimeng Hu
We study the optimal design of stealthy attacks against partially observed linear control systems. We first propose a novel likelihood-based detection mechanism derived from the in…
Deception in Linear-Quadratic Control
Yerin Kim, Haosheng Zhou, Alexander Benvenuti +2
Systems operating in adversarial environments may inadvertently leak sensitive information to adversaries. To address this challenge, we revisit the linear-quadratic control framew…
Learning Mean-Field Games through Mean-Field Actor-Critic Flow
Mo Zhou, Haosheng Zhou, Ruimeng Hu
We propose the Mean-Field Actor-Critic (MFAC) flow, a continuous-time learning dynamics for solving mean-field games (MFGs), combining techniques from reinforcement learning and op…
Strategic Inference in Stackelberg Games: Optimal Control for Revealing Adversary Intent
Ruimeng Hu, Daniel Ralston, Xu Yang +1
We study a continuous-time stochastic Stackelberg game in which a leader seeks to accomplish a primary objective while inferring a hidden parameter of a rational follower. The foll…
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
Ruimeng Hu, Jihao Long, Haosheng Zhou
We propose a novel neural network architecture, called Non-Trainable Modification (NTM), for computing Nash equilibria in stochastic differential games (SDGs) on graphs. These game…
Adversarial Decision-Making in Partially Observable Multi-Agent Systems: A Sequential Hypothesis Testing Approach
Haosheng Zhou, Daniel Ralston, Xu Yang +1
Adversarial decision-making in partially observable multi-agent systems requires sophisticated strategies for both deception and counter-deception. This paper presents a sequential…
Integrating Sequential Hypothesis Testing into Adversarial Games: A Sun Zi-Inspired Framework
Haosheng Zhou, Daniel Ralston, Xu Yang +1
This paper investigates the interplay between sequential hypothesis testing (SHT) and adversarial decision-making in partially observable games, focusing on the deceptive strategie…
Finite-Agent Stochastic Differential Games on Large Graphs: I. The Linear-Quadratic Case
Ruimeng Hu, Jihao Long, Haosheng Zhou
In this paper, we study finite-agent linear-quadratic games on graphs. Specifically, we propose a comprehensive framework that extends the existing literature by incorporating hete…