MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning von Milani, Stephanie, Zhang, Zhicheng, Topin, Nicholay, Shi, Zheyuan Ryan, Kamhoua, Charles, Papalexakis, Evangelos E., Fang, Fei

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Global Rewards in Restless Multi-Armed Bandits von Raman, Naveen, Shi, Zheyuan Ryan, Fang, Fei

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Learning and Planning in the Feature Deception Problem von Shi, Zheyuan Ryan, Procaccia, Ariel D., Chan, Kevin S., Venkatesan, Sridhar, Ben-Asher, Noam, Leslie, Nandi O., Kamhoua, Charles, Fang, Fei

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Global Rewards in Restless Multi-Armed Bandits von Raman, Naveen, Zheyuan Ryan Shi, Fang, Fei

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Artificial Intelligence for Social Good: A Survey von Shi, Zheyuan Ryan, Wang, Claire, Fang, Fei

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MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning von Milani, Stephanie, Zhang, Zhicheng, Topin, Nicholay, Shi, Zheyuan Ryan, Kamhoua, Charles, Papalexakis, Evangelos E, Fang, Fei

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Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages von Jain, Sameer, Keh, Sedrick Scott, Chettri, Shova, Dewan, Karun, Izquierdo, Pablo, Prussman, Johanna, Shreshtha, Pooja, Suarez, Cesar, Shi, Zheyuan Ryan, Li, Lei, Fang, Fei

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Bandit Data-Driven Optimization von Shi, Zheyuan Ryan, Wu, Zhiwei Steven, Ghani, Rayid, Fang, Fei

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NewsPanda: Media Monitoring for Timely Conservation Action von Keh, Sedrick Scott, Shi, Zheyuan Ryan, Patterson, David J, Bhagabati, Nirmal, Dewan, Karun, Gopala, Areendran, Izquierdo, Pablo, Mallick, Debojyoti, Sharma, Ambika, Shrestha, Pooja, Fang, Fei

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Bandit Data-Driven Optimization von Zheyuan Ryan Shi, Wu, Zhiwei Steven, Ghani, Rayid, Fang, Fei

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Artificial Intelligence for Social Good: A Survey von Zheyuan Ryan Shi, Wang, Claire, Fang, Fei

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Deep Reinforcement Learning for Green Security Games with Real-Time Information von Wang, Yufei, Shi, Zheyuan Ryan, Yu, Lantao, Wu, Yi, Singh, Rohit, Joppa, Lucas, Fang, Fei

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MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning von Milani, Stephanie, Zhang, Zhicheng, Topin, Nicholay, Zheyuan Ryan Shi, Kamhoua, Charles, Papalexakis, Evangelos E, Fang, Fei

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Designing the Game to Play: Optimizing Payoff Structure in Security Games von Shi, Zheyuan Ryan, Tang, Ziye, Tran-Thanh, Long, Singh, Rohit, Fang, Fei

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Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages von Jain, Sameer, Keh, Sedrick Scott, Chettri, Shova, Dewan, Karun, Izquierdo, Pablo, Prussman, Johanna, Shreshtha, Pooja, Suarez, Cesar, Zheyuan Ryan Shi, Li, Lei, Fang, Fei

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Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK von Shi, Zheyuan Ryan, Schlenker, Aaron, Hay, Brian, Bittleston, Daniel, Gao, Siyu, Peterson, Emily, Trezza, John, Fang, Fei

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Learning and Planning in the Feature Deception Problem von Shi, Zheyuan Ryan, Procaccia, Ariel D, Chan, Kevin S, Venkatesan, Sridhar, Ben-Asher, Noam, Leslie, Nandi O, Kamhoua, Charles, Fang, Fei

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NewsPanda: Media Monitoring for Timely Conservation Action von Keh, Sedrick Scott, Zheyuan Ryan Shi, Patterson, David J, Bhagabati, Nirmal, Dewan, Karun, Areendran Gopala, Izquierdo, Pablo, Mallick, Debojyoti, Sharma, Ambika, Shrestha, Pooja, Fang, Fei

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Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK von Zheyuan Ryan Shi, Schlenker, Aaron, Hay, Brian, Bittleston, Daniel, Gao, Siyu, Peterson, Emily, Trezza, John, Fang, Fei

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Deep Reinforcement Learning for Green Security Games with Real-Time Information von Wang, Yufei, Zheyuan Ryan Shi, Yu, Lantao, Wu, Yi, Singh, Rohit, Joppa, Lucas, Fang, Fei

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