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Publications

Displaying results 311 to 320 of 681.
  1. Riad Akrour; Davide Tateo; Jan Peters

    Reinforcement Learning from a Mixture of Interpretable Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.

  2. Andrea Cini; Carlo D'Eramo; Jan Peters; Cesare Alippi

    Deep Reinforcement Learning with Weighted Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.09280, Pages 0-10, arXiv, 2020.

  3. Philip Becker-Ehmck; Maximilian Karl; Jan Peters; Patrick van der Smagt

    Learning to Fly via Deep Model-Based Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.08876, Pages 0-10, arXiv, 2020.

  4. Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters; Armin Biess

    Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02638, Pages 0-10, arXiv, 2020.

  5. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Self-Paced Deep Reinforcement Learning

    In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020. Neural Information Processing Systems (NeurIPS-2020), December 6-12, Curran Associates, Inc. 2020.

  6. MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2021), September 21-26, ACM, 2021.

  7. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

    In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 45-54, CUMINCAD, 2021.

  8. Hardik Arora; Jessica Bielski; Viktor Eisenstadt; Christoph Langenhan; Christoph Ziegler; Klaus-Dieter Althoff; Andreas Dengel

    Consistency Checker – An automatic constraint-based evaluator for housing spatial configurations

    In: V. Stojakovic; B. Tepavcevic (Hrsg.). Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, CUMINCAD, 2021.

  9. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.

  10. Enabling reliable Visual Quality Control in Smart Factories through TSN

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). Procedia CIRP, Vol. 88 - 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 17-19 July 2019, Gulf of Naples, Italy, Pages 549-553, Elsevier B.V. 2020.