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Incremental precision-preserving symbolic inference for probabilistic programs., и . PLDI, стр. 237-252. ACM, (2019)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).Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games., , , , и . ICONIP (8), том 1962 из Communications in Computer and Information Science, стр. 124-135. Springer, (2023)A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation., , , , и . ICTAI, стр. 832-839. IEEE, (2022)Agent Allocation-Action Learning with Dynamic Heterogeneous Graph in Multi-Task Games., , , , и . IEICE Trans. Inf. Syst., 107 (8): 1040-1049 (2024)Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman., , , и . ISCAS, стр. 1-5. IEEE, (2021)Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning., , , , , и . CIKM, стр. 842-851. ACM, (2022)Optimizing 3D Mantle Convection Simulations on Multi-cores., , , , , , и . HPCC/DSS/SmartCity/DependSys, стр. 154-161. IEEE, (2023)Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games., , , , и . CogSci, cognitivesciencesociety.org, (2023)