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Automatic task decomposition and state abstraction from demonstration., , и . AAMAS, стр. 483-490. IFAAMAS, (2012)Environment-Independent Task Specifications via GLTL., , , , , и . CoRR, (2017)A novel sequence representation for unsupervised analysis of human activities., , , , , и . Artif. Intell., 173 (14): 1221-1244 (2009)Discovery, Evaluation, and Exploration of Human Supplied Options and Constraints., , , и . AAMAS, стр. 1873-1874. ACM, (2015)MIMIC: Finding Optima by Estimating Probability Densities., , и . NIPS, стр. 424-430. MIT Press, (1996)Restructuring Sparse High Dimensional Data for Effective Retrieval., и . NIPS, стр. 480-486. The MIT Press, (1998)On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences., , , , и . ICIDS, том 5334 из Lecture Notes in Computer Science, стр. 268-272. Springer, (2008)Learning From Explanations Using Sentiment and Advice in RL., , , , , и . IEEE Trans. Cogn. Dev. Syst., 9 (1): 44-55 (2017)Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains., , , , и . Artif. Intell., (2014)State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning., , , , и . CoRR, (2017)