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Displaying results 41 to 50 of 675.
  1. Tiemo Bang; Norman May; Ilia Petrov; Carsten Binnig

    AnyDB: An Architecture-less DBMS for Any Workload

    In: 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings. Conference on Innovative …

  2. Erfan Zamanian; Julian Shun; Carsten Binnig; Tim Kraska

    Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks

    In: SIGMOD Record, Vol. 50, No. 1, Pages 15-22, Association for Computing Machinery (ACM), 2021.

  3. Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.)

    9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

    IEEE International Conference on Affective Computation and Intelligent Interaction (ACII), Curran Associates, Inc. ( Jan 2022 ), 2021.

  4. Pramod Vadiraja; Jayasankar Santhosh; Hanane Moulay; Andreas Dengel; Shoya Ishimaru

    Effects of Counting Seconds in the Mind while Reading

    In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM …

  5. Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, …

  6. Jens Popper; Martin Ruskowski

    Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), …

  7. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

    Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

    CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, …

  8. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, …