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Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.

, , , , and . CogSci, cognitivesciencesociety.org, (2023)

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Incremental Static Analysis of Probabilistic Programs.. University of New South Wales, Sydney, Australia, (2019)base-search.net (ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/64244).Incremental precision-preserving symbolic inference for probabilistic programs., and . PLDI, page 237-252. ACM, (2019)A fast and stable algorithm for downdating the singular value decomposition., , , , and . Comput. Math. Appl., 68 (10): 1421-1430 (2014)Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games., , , , and . ICONIP (8), volume 1962 of Communications in Computer and Information Science, page 124-135. Springer, (2023)A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation., , , , and . ICTAI, page 832-839. IEEE, (2022)Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning., , , , , and . CIKM, page 842-851. ACM, (2022)Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games., , , , and . CogSci, cognitivesciencesociety.org, (2023)Optimizing 3D Mantle Convection Simulations on Multi-cores., , , , , , and . HPCC/DSS/SmartCity/DependSys, page 154-161. IEEE, (2023)A Monitoring Method Integrating Terrestrial Laser Scanning and Unmanned Aerial Vehicles for Different Landslide Deformation Patterns., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman., , , and . ISCAS, page 1-5. IEEE, (2021)