Publications

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.

Melvin Laux; Oleg Arenz; Jan Peters; Joni Pajarinen

Deep Adversarial Reinforcement Learning for Object Disentangling

In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5504-5510, IEEE, 2020.

Julen Urain; Michele Ginesi; Davide Tateo; Jan Peters

ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows

In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5231-5237, IEEE, 2020.

Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

Solving Deep Memory POMDPs with Recurrent Policy Gradients

In: Joaquim Marques de Sá; Luís A. Alexandre; Wlodzislaw Duch; Danilo P. Mandic (Hrsg.). Artificial Neural Networks - ICANN 2007, 17th International Conference, Proceedings. International Conference on Artificial Neural Networks (ICANN-2007), September 9-13, Porto, Portugal, Pages 697-706, Lecture Notes in Computer Science, Vol. 4668, Springer, 2007.

Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

State-Regularized Policy Search for Linearized Dynamical Systems

In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

Hymalai Bello; Bo Zhou; Sungho Suh; Paul Lukowicz

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.

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.

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.

Sebastian Palacio; Philipp Engler; Jörn Hees; Andreas Dengel

Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks

In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), Online, Pages 8937-8944, Vol. 1, No. 1, IEEE, 5/2021.

Junaid Younas; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed

Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

In: Applied Sciences, Vol. 10, No. 18 (6460), Pages 1-16, MDPI, 9/2020.