2 citations · 4 across the 7 of their papers we have counts for
10 papers
Evaluation and Learning in Two-Player Symmetric Games via Best and Better Responses
Rui Yan, Weixian Zhang, Ruiliang Deng +3
Artificial intelligence and robotic competitions are accompanied by a class of game paradigms in which each player privately commits a strategy to a game system which simulates the…
Privacy-Utility Trade-Offs Against Limited Adversaries
Xiaoming Duan, Zhe Xu, Rui Yan +1
We study privacy-utility trade-offs where users share privacy-correlated useful information with a service provider to obtain some utility. The service provider is adversarial in t…
Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic
Zhe Xu, Xiaoming Duan
Pandemics can bring a range of devastating consequences to public health and the world economy. Identifying the most effective control strategies has been the imperative task all a…
Stochastic Strategies for Robotic Surveillance as Stackelberg Games
Xiaoming Duan, Dario Paccagnan, Francesco Bullo
This paper studies a stochastic robotic surveillance problem where a mobile robot moves randomly on a graph to capture a potential intruder that strategically attacks a location on…
Markov Chain-Based Stochastic Strategies for Robotic Surveillance
Xiaoming Duan, Francesco Bullo
This article surveys recent advancements of strategy designs for persistent robotic surveillance tasks with the focus on stochastic approaches. The problem describes how mobile rob…
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
Rui Yan, Xiaoming Duan, Zongying Shi +3
This paper introduces two metrics (cycle-based and memory-based metrics), grounded on a dynamical game-theoretic solution concept called sink equilibrium, for the evaluation, ranki…