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Zheyuan Ryan Shi
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MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning


May 25, 2022
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, Fei Fang

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* 25 pages 
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Bandit Data-driven Optimization: AI for Social Good and Beyond


Aug 26, 2020
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

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Artificial Intelligence for Social Good: A Survey


Jan 07, 2020
Zheyuan Ryan Shi, Claire Wang, Fei Fang

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Learning and Planning in Feature Deception Games


May 13, 2019
Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles Kamhoua, Fei Fang

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Towards Thwarting Social Engineering Attacks


Jan 03, 2019
Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang

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Deep Reinforcement Learning for Green Security Games with Real-Time Information


Nov 06, 2018
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang

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Designing the Game to Play: Optimizing Payoff Structure in Security Games


May 22, 2018
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang

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