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Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds.

, и . ICML, стр. 583-590. Omnipress, (2010)

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Tobias Lang

Tobias Lang

Tobias Lang

Tobias Lang

Tobias Lang

 

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Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains., , и . ECML/PKDD (2), том 6912 из Lecture Notes in Computer Science, стр. 613-628. Springer, (2011)Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds., и . ICML, стр. 583-590. Omnipress, (2010)Exploration in Relational Worlds., , и . ECML/PKDD (2), том 6322 из Lecture Notes in Computer Science, стр. 178-194. Springer, (2010)Relevance Grounding for Planning in Relational Domains., и . ECML/PKDD (1), том 5781 из Lecture Notes in Computer Science, стр. 736-751. Springer, (2009)Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen., , и . Wirtschaftsinformatik Manag., 9 (5): 16-25 (2017)Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress., , , и . NIPS, стр. 206-214. (2012)Escaping local optima in POMDP planning as inference., , и . AAMAS, стр. 1263-1264. IFAAMAS, (2011)Massively Multiplayer Online Worlds as a Platform for Augmented Reality Experiences., , и . VR, стр. 67-70. IEEE Computer Society, (2008)Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference., , , и . ICRA, стр. 385-391. IEEE, (2010)Approximate inference for planning in stochastic relational worlds., и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 585-592. ACM, (2009)