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Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling.

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Strategy generation in multi-agent imperfect-information pursuit games., , , , and . AAMAS, page 947-954. IFAAMAS, (2010)Learning Hierarchical Task Models from Input Traces., , and . Comput. Intell., 32 (1): 3-48 (2016)Learning and Verifying Safety Constraints for Planners in a Knowledge-Impoverished System., , , , and . Comput. Intell., 28 (3): 329-357 (2012)Information gathering during planning for Web Service composition., , , , and . J. Web Semant., 3 (2-3): 183-205 (2005)A hierarchical task-network planner based on symbolic model checking, and . In Proceedings of the 15th International Conference on Automated Planning and Scheduling ICAPS-05, page 300--309. AAAI Press, (2005)Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling., , , , , , , , , and . AAAI, page 9504-9509. AAAI Press, (2019)Toward A Robust Method for Understanding the Replicability of Research., , , , and . SDU@AAAI, volume 2831 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required., , and . AAAI, page 950-956. AAAI Press, (2008)A goal- and dependency-directed algorithm for learning hierarchical task networks., , and . K-CAP, page 113-120. ACM, (2009)DiscoverHistory: understanding the past in planning and execution., , and . AAMAS, page 989-996. IFAAMAS, (2012)