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POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges.

, , , , , , and . AAMAS Workshops (Visionary Papers), volume 10003 of Lecture Notes in Computer Science, page 67-87. (2016)

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Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application., , , , , , , , , and . AAMAS, page 150-158. ACM, (2017)Tackling Sequential Attacks in Security Games., , , and . GameSec, volume 11836 of Lecture Notes in Computer Science, page 331-351. Springer, (2019)The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?, and . GameSec, volume 13727 of Lecture Notes in Computer Science, page 3-22. Springer, (2022)Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty., , , , and . AAAI, page 756-762. AAAI Press, (2014)Simultaneous Influencing and Mapping for Health Interventions., , , and . AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, volume WS-16-08 of AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery., , , , , , , and . KDD, page 5847-5848. ACM, (2023)Please be an Influencer?: Contingency-Aware Influence Maximization., , , , , and . AAMAS, page 1423-1431. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges., , , , , , and . AAMAS Workshops (Visionary Papers), volume 10003 of Lecture Notes in Computer Science, page 67-87. (2016)Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy., , , , , and . IJCAI, page 5178-5184. ijcai.org, (2022)Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty., , , , , and . AAMAS, page 740-748. ACM, (2016)