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Learning Probabilistic Relational Dynamics for Multiple Tasks, , , and . CoRR, (2012)Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation., and . IEEE Trans. Pattern Anal. Mach. Intell., 31 (4): 661-676 (2009)Intelligent Interaction with the Real World.. ECML/PKDD (1), volume 6321 of Lecture Notes in Computer Science, page 3. Springer, (2010)The National Science Foundation Workshop on Reinforcement Learning., and . AI Magazine, 17 (4): 89-93 (1996)FFRob: Leveraging symbolic planning for efficient task and motion planning., , and . Int. J. Robotics Res., 37 (1): 104-136 (2018)Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures., , , and . IJCAI, page 3513-3521. IJCAI/AAAI Press, (2016)Partially Observable Markov Decision Processes for Artificial Intelligence., , and . KI, volume 981 of Lecture Notes in Computer Science, page 1-17. Springer, (1995)Generalization in Deep Learning, , and . (2017)cite arxiv:1710.05468Comment: To appear in Mathematics of Deep Learning, Cambridge University Press. All previous results remain unchanged.Optimization in the now: Dynamic peephole optimization for hierarchical planning., , and . ICRA, page 4560-4567. IEEE, (2013)Hierarchical planning for multi-contact non-prehensile manipulation., , and . IROS, page 264-271. IEEE, (2015)