Publications

Steven Braun; Martin Mundt; Kristian Kersting

Deep Classifier Mimicry without Data Access

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

(alpha)ILP: thinking visual scenes as differentiable logic programs

In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

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.

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.

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.

Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

Deep spiking networks for model-based planning in humanoids

In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, Cancun, Mexico, Pages 656-661, IEEE, 2016.

Simone Parisi; Simon Ramstedt; Jan Peters

Goal-driven dimensionality reduction for reinforcement learning

In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.