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Year: 2019
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Displaying results 31 to 40 of 574.

  1. Muhammad El-Hindi; Carsten Binnig; Arvind Arasu; Donald Kossmann; Ravi Ramamurthy

    BlockchainDB - A Shared Database on Blockchains

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 12, No. 11, Pages 1597-1609, Association for Computing Machinery (ACM), 2019.

  2. Nathaniel Weir; Andrew Crotty; Alex Galakatos; Amir Ilkhechi; Shekar Ramaswamy; Rohin Bhushan; Ugur Çetintemel; Prasetya Utama; Nadja Geisler; Benjamin Hättasch; Steffen Eger; Carsten Binnig

    DBPal: Weak Supervision for Learning a Natural Language Interface to Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1909.06182, Pages 0-10, arXiv, 2019.

  3. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor with Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1904.01279, Pages 0-10, arXiv, 2019.

  4. Okan Koc; Guilherme Maeda; Jan Peters

    Optimizing the Execution of Dynamic Robot Movements With Learning Control

    In: IEEE Transactions on Robotics (T-RO), Vol. 35, No. 4, Pages 909-924, IEEE, 2019.

  5. Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters

    Reliable Real-Time Ball Tracking for Robot Table Tennis

    In: Robotics, Vol. 8, No. 4, Pages 0-10, MDPI, 2019.

  6. Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters

    Learning Intention Aware Online Adaptation of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 4, Pages 3719-3726, IEEE, 2019.

  7. Florian Brandherm; Jan Peters; Gerhard Neumann; Riad Akrour

    Learning Replanning Policies With Direct Policy Search

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 2196-2203, IEEE, 2019.

  8. Okan Koc; Jan Peters

    Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 1784-1791, IEEE, 2019.

  9. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

    In: Neural Networks, Vol. 109, Pages 67-80, Elsevier, 2019.

  10. Simone Parisi; Voot Tangkaratt; Jan Peters; Mohammad Emtiyaz Khan

    TD-regularized actor-critic methods

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1467-1501, Springer, 2019.

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