Publications

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.

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.

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.

Riad Akrour; Asma Atamna; Jan Peters

Convex optimization with an interpolation-based projection and its application to deep learning

In: Machine Learning, Vol. 110, No. 8, Pages 2267-2289, Springer, 2021.

Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

Gaussian Approximation for Bias Reduction in Q-Learning

In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

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.

Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (Hrsg.)

Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS-2021), August 9-11, USA, IEEE, 8/2021.

Kumail Raza; René Schuster; Didier Stricker

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

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.

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.