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A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds.

, , and . ECML/PKDD (2), volume 11052 of Lecture Notes in Computer Science, page 843-860. Springer, (2018)

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Machine Learning for Robots: A Comparison of Different Paradigms. International Conference on Intelligent Robots and Systems (IROS-96), Osaka, Japan, IEEE/RSJ, (November 1996)Recent Advances in Hierarchical Reinforcement Learning, and . Discrete Event Dynamic Systems, (2003)Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation., and . ICRA, page 1347-1352. IEEE, (2002)Repairing Disengagement With Non-Invasive Interventions., , , , , , , , and . AIED, volume 158 of Frontiers in Artificial Intelligence and Applications, page 195-202. IOS Press, (2007)A General Framework for Manifold Alignment., and . AAAI Fall Symposium: Manifold Learning and Its Applications, volume FS-09-04 of AAAI Technical Report, AAAI, (2009)LEAP: A Learning Apprentice for VLSI Design., , and . IJCAI, page 573-580. Morgan Kaufmann, (1985)Learning hierarchical models of activity., , and . IROS, page 891-896. IEEE, (2004)Verification-based Learning: A Generalized Strategy for Inferring Problem-Reduction Methods.. IJCAI, page 616-623. Morgan Kaufmann, (1985)Jointly Learning Data-Dependent Label and Locality-Preserving Projections., and . IJCAI, page 1547-1552. IJCAI/AAAI, (2011)Representation Policy Iteration. CoRR, (2012)