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Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.

, , , , and . IJCAI, page 5950-5958. ijcai.org, (2023)

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A robust approach to addressing human adversaries in security games., , , , , and . AAMAS, page 1297-1298. IFAAMAS, (2012)Signaling in Bayesian Stackelberg Games., , , , and . AAMAS, page 150-158. ACM, (2016)SAVES: a sustainable multiagent application to conserve building energy considering occupants., , , , , , , , , and . AAMAS, page 21-28. IFAAMAS, (2012)Towards Adjustable Autonomy for the Real World., , and . J. Artif. Intell. Res., (2002)Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach., , and . J. Artif. Intell. Res., (2002)Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach, , and . CoRR, (2011)Empirical evaluation of computational fear contagion models in crowd dispersions., , , and . Auton. Agents Multi Agent Syst., 27 (2): 200-217 (2013)Every team deserves a second chance: an extended study on predicting team performance., , , and . Auton. Agents Multi Agent Syst., 31 (5): 1003-1054 (2017)TESLA: an extended study of an energy-saving agent that leverages schedule flexibility., , , , , , and . Auton. Agents Multi Agent Syst., 28 (4): 605-636 (2014)Security Games Applied to Real-World: Research Contributions and Challenges., , and . Moving Target Defense, volume 100 of Advances in Information Security, Springer, (2013)