Publications

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.

Bang You; Jingming Xie; Youping Chen; Jan Peters; Oleg Arenz

Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.05333, Pages 0-10, arXiv, 2022.

Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.07071, Pages 0-10, arXiv, 2022.

Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction

In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 472-479, IEEE, 2022.

Riad Akrour; Davide Tateo; Jan Peters

Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts

In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 44, No. 10, Pages 6795-6806, IEEE, 2022.

Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

Robot Learning From Randomized Simulations: A Review

In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters; Joni Pajarinen

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

In: Algorithms, Vol. 15, No. 3, Pages 0-10, MDPI, 2022.

Jihao Andreas Lin; Joe Watson; Pascal Klink; Jan Peters

Function-Space Regularization for Deep Bayesian Classification

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2307.06055, Pages 0-10, arXiv, 2023.

Michael Backenköhler; Paula Linh Kramer; Joschka Groß; Gerrit Großmann; Roman Joeres; Azat Tagirdzhanov; Dominique Sydow; Hamza Ibrahim; Floriane Odje; Verena Wolf; Andrea Volkamer

TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

In: ChemRxiv, Vol. ChemRxiv Online, ChemRxiv.org, 5/2023.

Mattis Wolf; Diajeng Wulandari Atmojo; Christoph Tholen; Oliver Zielinski

Improved deep learning based litter detection in aquatic environments in Indonesia using drones

In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, 6/2023.