Sökning: "Reinforcement Learning"

Visar resultat 1 - 5 av 192 uppsatser innehållade orden Reinforcement Learning.

  1. 1. Resource Optimal Neural Networks for Safety-critical Real-time Systems

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Joakim Åkerström; [2020-07-10]
    Nyckelord :Data science; machine learning; deep learning; neural networks; network compression; network acceleration; safety-critical systems; real-time systems;

    Sammanfattning : Deep neural networks consume an excessive amount of hardware resources, makingthem difficult to deploy to real-time systems. Previous work in the field of networkcompression lack the explicit hardware feedback necessary to control the resourceconstraints imposed by such systems. LÄS MER

  2. 2. Collision Avoidance for a Fence Inspecting Drone Operating at an Airport

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fanny Radesjö; [2020]
    Nyckelord :;

    Sammanfattning : Many important facilities are surrounded by security fences that need to be regularly inspected for damage. To automate this task it has been proposed to use a drone equipped with a camera. LÄS MER

  3. 3. Operant betingning på hund : strypkoppel eller godis?

    Kandidat-uppsats, SLU/Dept. of Animal Environment and Health

    Författare :Jenny Löf; [2020]
    Nyckelord :operant betingning; hund; bestraffning; förstärkning; positiv; negativ; djurvälfärd; relation; inlärning; motivation; ras; känslomässigt tillstånd; ålder;

    Sammanfattning : The life of a dog is full of training and learning moments, something that shapes the dog. It is therefore important to choose a training method that gives you a healthy, happy, and enjoyable dog. It is also important to consider how certain factors affect learning in dogs. LÄS MER

  4. 4. Predicting Container-Level Power Consumption in Data Centers using Machine Learning Approaches

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Rasmus Bergström; [2020]
    Nyckelord :Cloud; Data Center; Prediction; Machine Learning; Climate Change; Environment;

    Sammanfattning : Due to the ongoing climate crisis, reducing waste and carbon emissions has become hot topic in many fields of study. Cloud data centers contribute a large portion to the world’s energy consumption. LÄS MER

  5. 5. Machine Learning Technique for Beam Management in 5G NR RAN at mmWave Frequencies

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Joel Bill; Gustav Fahlén; [2020]
    Nyckelord :Machine Learning; Reinforcement Learning; Beam Management; Beam Tracking; mmWaves; Technology and Engineering;

    Sammanfattning : Ericsson has an interest in investigating if the fast-growing concept known as machine learning can be applied to beam management, in a 5G NR environment using mmWave frequencies. Because of the high path-loss at mmWave frequencies and high throughput demands of 5G NR systems it is crucial to the UE to always stay connected to the most suitable beam, to provide highest possible throughput. LÄS MER