Essays about: "Djup Förstärkningsinlärning"

Showing result 1 - 5 of 26 essays containing the words Djup Förstärkningsinlärning.

1. 1. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

   Author : Shihang Zhou; [2023]
   Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

3. 2. Real-time adaptation of robotic knees using reinforcement control

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

   Author : Leifur Daníel Sigurðarson; [2023]
   Keywords : Machine learning; deep reinforcement learning; transfer learning; medical device; prosthetic; prosthesis; controls; human-in-the-loop; Maskininlärning; djup förstärkningsinlärning; överföringsinlärning; medicinsk utrustning; protes; kontroller; människa-i-loopen;

   Abstract : Microprocessor-controlled knees (MPK’s) allow amputees to walk with increasing ease and safety as technology progresses. As an amputee is fitted with a new MPK, the knee’s internal parameters are tuned to the user’s preferred settings in a controlled environment. READ MORE

4. 3. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle

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

   Author : Mingwei Liu; [2023]
   Keywords : HEV; EMS; Deep Reinforcement Learning; Learning Efficiency; Fuel Efficiency; HEV; EMS; Djup Förstärkningsinlärning; Inlärningseffektivitet; Bränsleeffektivitet;

   Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE

5. 4. Control Method for an Automated Forest Machine Based on Deep Reinforcement Learning

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

   Author : Youchen Sun; [2023]
   Keywords : ;

   Abstract : An automated forest machine was designed in order to improve the working environment of today’s forest machine operators. In order to realize the autonomous control of the forest machine, model-based methods such as A* and dynamic window were used in previous projects. READ MORE

6. 5. Data Harvesting and Path Planning in UAV-aided Internet-of-Things Wireless Networks with Reinforcement Learning : KTH Thesis Report

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

   Author : Yuming Zhang; [2023]
   Keywords : Unmanned aerial vehicle; the Internet of Things; data harvesting; obstacle avoidance; path planning; deep reinforcement learning; Obemannat luftfordon; sakernas internet; datainsamling; undvikande av hinder; vägplanering; djup förstärkningsinlärning;

   Abstract : In recent years, Unmanned aerial vehicles (UAVs) have developed rapidly due to advances in aerospace technology, and wireless communication systems. As a result of their versatility, cost-effectiveness, and flexibility of deployment, UAVs have been developed to accomplish a variety of large and complex tasks without terrain restrictions, such as battlefield operations, search and rescue under disaster conditions, monitoring, etc. READ MORE