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20192022
most citedDeceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals

14 citations · 44 across the 17 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SY2019

Optimal Demand Response and Supply Schedule Under Market-Driven Price: A Stackelberg Dynamic Game Approach

Yunhan Huang

In this work, we use a Stackelberg infinite discrete-time dynamic game model to study the optimal supply schedule and the optimal demand response under a market-driven dynamic pric…

eess.SY2019

Dynamic Games for Secure and Resilient Control System Design

Yunhan Huang, Juntao Chen, Linan Huang +1

Modern control systems are featured by their hierarchical structure composing of cyber, physical, and human layers. The intricate dependencies among multiple layers and units of mo…

math.OC2019★ 1 cited

Continuous-Time Markov Decision Processes with Controlled Observations

Yunhan Huang, Veeraruna Kavitha, Quanyan Zhu

In this paper, we study a continuous-time discounted jump Markov decision process with both controlled actions and observations. The observation is only available for a discrete se…

cs.LG2019★ 14 cited

Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals

Yunhan Huang, Quanyan Zhu

This paper studies reinforcement learning (RL) under malicious falsification on cost signals and introduces a quantitative framework of attack models to understand the vulnerabilit…

math.OC2019

A Differential Game Approach to Decentralized Virus-Resistant Weight Adaptation Policy over Complex Networks

Yunhan Huang, Quanyan Zhu

Increasing connectivity of communication networks enables large-scale distributed processing over networks and improves the efficiency for information exchange. However, malware an…