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Self-Improving Generative Adversarial Reinforcement Learning., , , , и . AAMAS, стр. 52-60. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Privacy-preserving point-of-interest recommendation based on geographical and social influence., , , и . Inf. Sci., (2021)Multiagent based construction for human-like architecture., , и . AAMAS, стр. 63. IFAAMAS, (2007)Influence Maximization with Novelty Decay in Social Networks., , , , , и . AAAI, стр. 37-43. AAAI Press, (2014)On Information Coverage for Location Category Based Point-of-Interest Recommendation., , , , , и . AAAI, стр. 37-43. AAAI Press, (2015)Approximate solutions of interactive dynamic influence diagrams using ε-behavioral equivalence., , и . ISAIM, (2010)LBfT: Learning Bayesian Network Structures from Text in Autonomous Typhoon Response Systems., , , , , , , и . AAMAS, стр. 1914-1916. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Diversifying the Storytelling Using Bayesian Networks., , , , и . ADMI, том 9145 из Lecture Notes in Computer Science, стр. 104-113. Springer, (2014)Toward data-driven solutions to interactive dynamic influence diagrams., , , , и . Knowl. Inf. Syst., 63 (9): 2431-2453 (2021)Approximating behavioral equivalence of models using top-k policy paths., , и . AAMAS, стр. 1229-1230. IFAAMAS, (2011)