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Approximate inference for planning in stochastic relational worlds.

, and . ICML, volume 382 of ACM International Conference Proceeding Series, page 585-592. ACM, (2009)

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