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Jahr: 2021
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  1. Stephan Weigand; Pascal Klink; Jan Peters; Joni Pajarinen

    Reinforcement Learning using Guided Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2104.10986, Pages 0-10, arXiv, 2021.

  2. Tianyu Ren; Georgia Chalvatzaki; Jan Peters

    Extended Task and Motion Planning of Long-horizon Robot Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2103.05456, Pages 0-10, arXiv, 2021.

  3. Julen Urain; Puze Liu; Anqi Li; Carlo D'Eramo; Jan Peters

    Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, …

  4. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Robust Value Iteration for Continuous Control Tasks

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, …

  5. Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; Julen Urain De Jesus; Jan Peters; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang; Matthew R. Walter; Rishabh Madan; Takuma Yoneda; Denis Yarats; Arthur Allshire; Ethan K. Gordon; Tapomayukh Bhattacharjee; Siddhartha S. Srinivasa; Animesh Garg; Takahiro Maeda; Harshit Sikchi; Jilong Wang; Qingfeng Yao; Shuyu Yang; Robert McCarthy; Francisco Roldan Sanchez; Qiang Wang; David Cordova Bulens; Kevin McGuinness; Noel E. O'Connor; Stephen J. Redmond; Bernhard Schölkopf

    Real Robot Challenge: A Robotics Competition in the Cloud

    In: Douwe Kiela; Marco Ciccone; Barbara Caputo (Hrsg.). NeurIPS 2021 Competitions and Demonstrations Track. Neural Information Processing Systems …

  6. Pascal Klink; Hany Abdulsamad; Boris Belousov; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 182:1-182:52, JMLR, 2021.

  7. Liudvikas Nemiro; Gerard Canal; Oscar Lima; Michael Cashmore; Mark Roberts

    Designing an Adaptable Benchmark and Competition Simulation for Integrated Planning and Execution

    In: Workshop on the International Planning Competition (WIPC). International Conference on Automated Planning and Scheduling (ICAPS-2021), located at …

  8. Tomás Ribeiro; Oscar Lima; Michael Cashmore; Andrea Micheli; Rodrigo Ventura

    Olisipo: A probabilistic approach to the adaptable execution of deterministic temporal plans

    In: Proceedings of the International Symposium on Temporal Representation and Reasoning. International Symposium on Temporal Representation and …

  9. Leo Sylvio Rüdian; Niels Pinkwart

    Generating adaptive and personalized language learning online courses in Moodle with individual learning paths using templates

    In: International Conference on Advanced Learning Technologies (ICALT 2021). IEEE International Conference on Advanced Learning Technologies …

  10. Leo Sylvio Rüdian; M. H. Khan; Niels Pinkwart

    Using H5P in Exams: A Method to prevent Cheating

    In: International Conference on Advanced Learning Technologies (ICALT 2021). IEEE International Conference on Advanced Learning Technologies (ICALT), …

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