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Decentralized planning under uncertainty for teams of communicating agents.

, , and . AAMAS, page 249-256. ACM, (2006)

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Learning from Experience in Manipulation Planning: Setting the Right Goals., , and . ISRR, volume 100 of Springer Tracts in Advanced Robotics, page 309-326. Springer, (2011)Multiple Source Domain Adaptation with Adversarial Training of Neural Networks., , , , , and . CoRR, (2017)Automated image analysis of protein localization in budding yeast., , , and . ISMB/ECCB (Supplement of Bioinformatics), page 66-71. (2007)On Learning Invariant Representations for Domain Adaptation., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7523-7532. PMLR, (2019)A Novel Graphical Model Approach to Segmenting Cell Images., , , and . CIBCB, page 1-8. IEEE, (2006)Closing the Learning-Planning Loop with Predictive State Representations., , and . Robotics: Science and Systems, The MIT Press, (2010)Learning to Smooth with Bidirectional Predictive State Inference Machines., , , , and . UAI, AUAI Press, (2016)Efficient Multitask Feature and Relationship Learning., , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 777-787. AUAI Press, (2019)An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems., , and . AAAI, page 3191-3198. AAAI Press, (2018)Exponential Family PCA for Belief Compression in POMDPs., and . NIPS, page 1635-1642. MIT Press, (2002)