Essays about: "DRL"

Showing result 1 - 5 of 33 essays containing the word DRL.

1. 1. Deep reinforcement learning for automated building climate control

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Erik Snällfot; Martin Hörnberg; [2024]
   Keywords : Machine Learning; Reinforcement Learning; Deep Learning; Deep Reinforcement Learning; Building Control; Control System;

   Abstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE

3. 2. Data Augmentation for Object Detection using Deep Reinforcement Learning

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Axel Andersson; Nils Hallerfelt; [2024]
   Keywords : Technology and Engineering;

   Abstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. READ MORE

4. 3. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Enzo Alexander Cording; [2023]
   Keywords : Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

   Abstract : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. READ MORE

5. 4. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuhang Li; [2023]
   Keywords : DNN; Soft errors; Redundancy; DRL; DQN; Transfer learning; Training time; DNN; Mjuka fel; Redundans; DRL; DQN; Överföringsinlärning; Utbildningstid;

   Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE

6. 5. Intelligent autoscaling in Kubernetes : the impact of container performance indicators in model-free DRL methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tommaso Praturlon; [2023]
   Keywords : Cloud computing; container autoscaling; resource optimisation; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh; Cloud computing; container autoscaling; Optimering av resurser; Deep Reinforcement Learning; Actor-Critic; Kubernetes; service mesh;

   Abstract : A key challenge in the field of cloud computing is to automatically scale software containers in a way that accurately matches the demand for the services they run. To manage such components, container orchestrator tools such as Kubernetes are employed, and in the past few years, researchers have attempted to optimise its autoscaling mechanism with different approaches. READ MORE