Skip to main content Skip to main navigation

Publications

Displaying results 1 to 10 of 677.
  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. Fabrizio Nunnari; Judith Bauerdiek; Lucas Bernhard; Cristina España-Bonet; Corinna Jäger; Amelie Unger; Kristoffer Waldow; Sonja Wecker; Elisabeth André; Stephan Busemann; Christian Dold; Arnulph Fuhrmann; Patrick Gebhard; Yasser Hamidullah; Marcel Hauck; Yvonne Kossel; Martin Misiak; Dieter Wallach; Alexander Stricker

    AVASAG: A German Sign Language Translation System for Public Services

    In: 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL). International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL-2021), August 20, Association for Machine Translation in the Americas, 8/2021.

  3. Silke Balzert-Walter; Freek Bomhof; Barteld Braaksma; Giuseppe Ciulla; Roberto Di Bernardo; Giovanna Galasso; Matteo Gerosa; Alexa Kodde

    Report on the key findings from the Theme Development Workshop “AI in the Public Sector”

    Pages 1-18, 11/2021.

  4. 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.

  5. 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 ICAPS 2021, August 2-13, Guangzhou, China, AAAI, Palo Alto, California USA, 8/2021.

  6. 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 Reasoning (TIME-2021), September 27-29, University of Klagenfurt, Carinthia, Austria, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 9/2021.

  7. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  8. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.