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Jahr: 2021
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  1. Leo Wanner; Matthias Klusch; Athanasios Mavropoulos; Emmanuel Jamin; Víctor Marín Puchades; Gerard Casamayor; Jan vCernocký; Steffi Davey; Mónica Domínguez; Ekaterina Egorova; Jens Grivolla; Elena Jaramillo; Anastasios Karakostas; Dimos Ntioudis; Pavel Pecina; Oleksandr Sobko; Stefanos Vrochidis; Lena Wertmann

    Towards a Versatile Intelligent Conversational Agent as Personal Assistant for Migrants

    In: Frank Dignum; Juan Manuel Corchado; Fernando De La Prieta (Hrsg.). Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. International Conference on Practical Applications of Intelligent Agents and Multiagents (PAAMS-2021), Cham, Pages 316-327, Vol. 12946, ISBN 978-3-030-85739-4, Springer International Publishing, 2021.

  2. Ivana Kruijff; Thomas Barz; Alexander Berrang; Marius Beul; Kevin Daun; Floris Ernst; Frank Friede; Philipp Gorczak; Stefan Grobelny; Nils Heidemann; Constantin Houy; Artur Leinweber; Alexander Lel; Alexander Miller; Jan Quenzel; Stefan Rilling; Gerhard Senkowski; Daniel Schleich; Marius Schnaubelt; Dominik Slomma; Stefan Soltau; Jani Tiemann; Marc Thurow; Brian Willems; Christian Willms; Sven Behnke; Ralf Bruder; Robert Grafe; Christof Röhrig; Hartmut Surmann; Oskar von Stryk; Christian Wietfeld; Dirk Aschenbrenner

    Smart Robots to the Rescue: Intelligent Robotics-Assisted Disaster Response at the German Rescue Robotics Center (robot exhibition)

    In: 29th International Joint Conference on Artificial Intelligence (IJCAI) and the 17th Pacific Rim International Conference on Artificial Intelligence (PRICAI). International Joint Conference on Artificial Intelligence (IJCAI-2020), Accepted Robot Exhibition, January 7-15, Yokohama, Japan, Online-Conference, 1/2021.

  3. Manisha Luthra

    Network-centric Complex Event Processing: Adaptive, Efficient, and Flexible Placement and Execution of Internet of Things Applications

    PhD-Thesis, Technische Universität Darmstadt, TU prints, 9/2021.

  4. Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters

    Distilled Domain Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2112.03149, Pages 0-10, arXiv, 2021.

  5. Hany Abdulsamad; Jan Peters

    Model-Based Reinforcement Learning for Stochastic Hybrid Systems

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2111.06211, Pages 0-10, arXiv, 2021.

  6. Michael Lutter; Johannes Silberbauer; Joe Watson; Jan Peters

    A Differentiable Newton-Euler Algorithm for Real-World Robotics

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.12422, Pages 0-10, arXiv, 2021.

  7. Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Charles B. Schaff; Takahiro Maeda; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Annika Buchholz; Sebastian Stark; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vaibhav Agrawal; Bernhard Schölkopf

    A Robot Cluster for Reproducible Research in Dexterous Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2109.10957, Pages 0-10, arXiv, 2021.

  8. Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

    High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.

  9. Daniel Tanneberg; Elmar Rueckert; Jan Peters

    Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07957, Pages 0-10, arXiv, 2021.

  10. Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters

    Stochastic Control through Approximate Bayesian Input Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07693, Pages 0-10, arXiv, 2021.

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