Sökning: "reinforcement learning"
Visar resultat 21 - 25 av 174 avhandlingar innehållade orden reinforcement learning.
21. On Deep Machine Learning Based Techniques for Electric Power Systems
Sammanfattning : This thesis provides deep machine learning-based solutions to real-time mitigation of power quality disturbances such as flicker, voltage dips, frequency deviations, harmonics, and interharmonics using active power filters (APF). In an APF the processing delays reduce the performance when the disturbance to be mitigated is tima varying. LÄS MER
22. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits
Sammanfattning : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. LÄS MER
23. Data-Efficient Learning of Semantic Segmentation
Sammanfattning : Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. LÄS MER
24. Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks
Sammanfattning : Over the last decade, video has vastly become the most popular way the world consumes content. Due to the increased popularity, video has been a strategic tool for enterprises. LÄS MER
25. Learning to Control the Cloud
Sammanfattning : With the growth of the cloud industry in recent years, the energy consumption of the underlying infrastructure is a major concern.The need for energy efficient resource management and control in the cloud becomes increasingly important as one part of the solution, where the other is to reduce the energy consumption of the hardware itself. LÄS MER