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Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate?

, , and . CIKM, page 1713-1722. ACM, (2016)

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Contingency-aware influence maximization: A reinforcement learning approach., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1535-1545. AUAI Press, (2021)Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate?, , and . CIKM, page 1713-1722. ACM, (2016)Accounting for Uncertainty in Deceptive Signaling for Cybersecurity., , , , and . HICSS, page 876-885. ScholarSpace, (2023)Robust Lock-Down Optimization for COVID-19 Policy Guidance., , , , , , and . AI4SG@AAAI Fall Symposium, volume 2884 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Networked Restless Multi-Armed Bandits for Mobile Interventions., , , , , , and . AAMAS, page 1001-1009. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Sequential Vaccine Allocation with Delayed Feedback., , , , and . IJCAI, page 5199-5205. ijcai.org, (2022)Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty., , , , , and . AAMAS, page 992-1000. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Optimizing Network Structure for Preventative Health., , , and . AAMAS, page 841-849. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Active Screening for Recurrent Diseases: A Reinforcement Learning Approach., , , and . AAMAS, page 992-1000. ACM, (2021)Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty., , , , and . CoRR, (2019)