Sökning: "Reinforcement Learning"
Visar resultat 1 - 5 av 192 uppsatser innehållade orden Reinforcement Learning.
- Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik
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
- Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
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
- Kandidat-uppsats, SLU/Dept. of Animal Environment and Health
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
- Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik
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
- Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik
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