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Jahr: 2019
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  1. Diego Agudelo-Espa~na; Sebastián Gómez-González; Stefan Bauer; Bernhard Schölkopf; Jan Peters

    Bayesian Online Detection and Prediction of Change Points

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1902.04524, Pages 0-10, arXiv, 2019.

  2. Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup

    Neural Signatures of Motor Skill in the Resting Brain

    In: 2019 IEEE International Conference on Systems, Man and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics (SMC-2019), October 6-9, Bari, Italy, Pages 4387-4394, IEEE, 2019.

  3. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1911.00926, Pages 0-10, arXiv, 2019.

  4. Zhang-Wei Hong; Joni Pajarinen; Jan Peters

    Model-based Lookahead Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1908.06012, Pages 0-10, arXiv, 2019.

  5. Stefan Fischer; Martin Leucker; Christoph Lüth; Thomas Martinetz; Raimund Mildner; Dirk Nowotka; Frank Steinicke

    KI-SIGS: Artificial Intelligence for the Northern German Health Ecosystem

    In: Digitale Welt, Vol. 4, Pages 49-54, Springer Verlag, 12/2019.

  6. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, LA, USA, OpenReview.net, 2019.

  7. Joe Watson; Hany Abdulsamad; Jan Peters

    Stochastic Optimal Control as Approximate Input Inference

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning, Proceedings. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 697-716, Proceedings of Machine Learning Research, Vol. 100, PMLR, 2019.

  8. Mikko Lauri; Joni Pajarinen; Jan Peters

    Information Gathering in Decentralized POMDPs by Policy Graph Improvement

    In: Edith Elkind; Manuela Veloso; Noa Agmon; Matthew E. Taylor (Hrsg.). AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19), May 13-17, Montreal, QC, Canada, Pages 1143-1151, ISBN 978-1-4503-6309-9, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 2019.

  9. 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.

  10. Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters; Gerhard Neumann

    Compatible natural gradient policy search

    In: Machine Learning, Vol. 108, No. 8-9, Pages 1443-1466, Springer, 2019.

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