Systemische KI für Lernende Roboter

Seite 1 von 64.

1. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Abdullah Akgül; Yaniv Oren; Melih Kandemir; Jan Peters; Carlo D'Eramo

   Bridging the performance-gap between target-free and target-based reinforcement learning

   In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2026), located at ICLR-2026, ICLR, 2026.

2. Ahmed Hendawy; Henrik Metternich; Théo Vincent; Mahdi Kallel; Jan Peters; Carlo D'Eramo

   Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

   In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2026), located at ICLR-2026, ICLR, 2026.

3. Khang Nguyen; An T. Le; Jan Peters; Minh Nhat Vu

   DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion

   In: IEEE Robotics and Automation Letters (RA-L), Vol. 11, No. 2, Pages 2162-2169, ArXiv, 2026.

4. Julen Urain; Ajay Mandlekar; Yilun Du; Nur Muhammad (Mahi) Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

   A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations

   In: IEEE Transactions on Robotics and Automation, Vol. 42, Pages 60-79, ArXiv, 2026.

5. David Rother; Franziska Herbert; Fabian Kalter; Dorothea Koert; Joni Pajarinen; Jan Peters; Thomas H. Weisswange

   Entropy based blending of policies for multi-agent coexistence

   In: International Journal on Autonomous Agents and Multi-Agent Systems (JAAMAS), Vol. 39, No. 1, Pages 1-28, Springer, 5/2025.

6. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

   Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

   In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2025.

7. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D'Eramo

   Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

   In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2025), ICLR, 2025.

8. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

   Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

   In: Proceedings of the 2nd Reinforcement Learning Conference 2025. Reinforcement Learning Conference (RLC-2025), August 5-9, Edmonton, AB, Canada, Reinforcement Learning Journal (RLJ), 2025.

9. Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters; Constantin A. Rothkopf; Kristian Kersting

   Deep Reinforcement Learning Agents are not even close to Human Intelligence

   In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.21731, Pages 1-49, Computing Research Repository, 2025.

10. Junning Huang; Davide Tateo; Puze Liu; Jan Peters

    Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 10, No. 3, Pages 2454-2461, IEEE, 2025.

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