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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)

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Fast motion planning from experience: trajectory prediction for speeding up movement generation., and . Auton. Robots, 34 (1-2): 111-127 (2013)Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds., and . ICML, page 583-590. Omnipress, (2010)Model-free reinforcement learning as mixture learning., and . ICML, volume 382 of ACM International Conference Proceeding Series, page 1081-1088. ACM, (2009)Trajectory prediction: learning to map situations to robot trajectories., and . ICML, volume 382 of ACM International Conference Proceeding Series, page 449-456. ACM, (2009)Building a Bridge with a Robot: A System for Collaborative On-table Task Execution., , and . HAI, page 399-403. ACM, (2017)Model-Based Relational RL When Object Existence is Partially Observable., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 559-567. JMLR.org, (2014)A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data., , and . IJCAI, page 1119-1124. (2007)Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning., , , , and . CoRR, (2020)Motion Planning Explorer: Visualizing Local Minima Using a Local-Minima Tree., , and . IEEE Robotics Autom. Lett., 5 (2): 346-353 (2020)Active Inverse Model Learning with Error and Reachable Set Estimates., , and . IROS, page 1826-1833. IEEE, (2019)