Systemische KI für Lernende Roboter

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1. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Theo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

   Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition

   In: Kate Larson (Hrsg.). Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, Pages 8833-8837, International Joint Conferences on Artificial Intelligence Organization, 8/2024.

2. Théo Vincent; Alberto Maria Metelli; Boris Belousov; Jan Peters; Marcello Restelli; Carlo D’Eramo

   Parameterized Projected Bellman Operator

   In: Proceedings of the 38th Annual AAAi Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-24), February 20-27, Vancouver, Canada, Association for the Advancement of Artificial Intelligence, 2024.

3. Alina Boehm; Tim Schneider; Boris Belousov; Alap Kshirsagar; Lisa Lin; Katja Doerschner; Knut Drewing; Constantin A. Rothkopf; Jan Peters

   What Matters for Active Texture Recognition With Vision-Based Tactile Sensors

   In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), IEEE, 2024.

4. Aryaman Reddi; Maximilian Tölle; Jan Peters; Georgia Chalvatzaki; Carlo D'Eramo

   Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

   In: Proceedings of the 12th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2024), May 7-11, Wien, Austria, ISBN -, 2024.

5. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

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

   European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

6. Joe Watson; Benedikt Hahner; Boris Belousov; Jan Peters

   Tractable Bayesian Dynamics Priors from Differentiable Physics for Learning and Control

   In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), September 23-26, Rotterdam, Netherlands, IEEE, 2024.

7. Moritz Meser; Aditya Bhatt; Boris Belousov; Jan Peters

   MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench

   In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), September 23-26, Rotterdam, Netherlands, IEEE, 2024.

8. Alap Kshirsagar; Frederik Heller; Mario Gomez Andreu; Boris Belousov; Tim Schneider; Lisa P. Y. Lin; Katja Doerschner; Knut Drewing; Jan Peters

   Hardness Similarity Detection Using Vision-Based Tactile Sensors

   In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), September 23-26, Rotterdam, Netherlands, IEEE, 2024.

9. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

   Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

   In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

10. 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, 2024.

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