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Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies.

, , and . Probabilistic, Logical and Relational Learning - A Further Synthesis, volume 07161 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, (2007)

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Iterative Learning of Weighted Rule Sets for Greedy Search., , and . ICAPS, page 201-208. AAAI, (2010)Schema Independent Relational Learning., , and . CoRR, (2015)Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions., , and . AAAI Fall Symposia, page 2-8. AAAI Press, (2015)Learning Finite State Representations of Recurrent Policy Networks., , and . CoRR, (2018)Feedback-Guided Anomaly Discovery via Online Optimization., , , , , and . KDD, page 2200-2209. ACM, (2018)Sample-Based Tree Search with Fixed and Adaptive State Abstractions., , and . J. Artif. Intell. Res., (2017)Visualizing and Understanding Atari Agents., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1787-1796. PMLR, (2018)Learning Task Space Actions for Bipedal Locomotion., , , , , and . CoRR, (2020)Keeping it ``organized and logical'', , , , , , , , , and 3 other author(s). Proceedings of the 25th International Conference on Intelligent User Interfaces, ACM, (March 2020)Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model., , , , , and . CoRR, (2020)