Essays about: "Deep Q-learning Network"
Showing result 16 - 20 of 33 essays containing the words Deep Q-learning Network.
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16. A Comparative Study of Reinforcement-based and Semi-classical Learning in Sensor Fusion
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Reinforcement learning has proven itself very useful in certain areas, such as games. However, the approach has been seen as quite limited. Reinforcement-based learning has for instance not been commonly used for classification tasks as it is receiving feedback on how well it did for an action performed on a specific input. READ MORE
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17. MACHINE LEARNING ASSISTED MULTI-CELL BASE STATION SLEEP MODE MANAGEMENT
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Fifth generation (5G) communication technology provides higher data rates, better connectivity, and many new facilities. However, there are some challenges that need to be addressed. READ MORE
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18. Deep Reinforcement Learning for the Optimization of Combining Raster Images in Forest Planning
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Raster images represent the treatment options of how the forest will be cut. Economic benefits from cutting the forest will be generated after the treatment is selected and executed. Existing raster images have many clusters and small sizes, this becomes the principal cause of overhead. READ MORE
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19. Intelligent control of shared electric vehicle charging robots
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Electric Vehicles (EVs) sales have grown at an exponential rate all over the world. However, the industry still faces many challenges like high cost of electric vehicles, range anxiety and lack of access to efficient charging infrastructure. READ MORE
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20. Distributed Deep Reinforcement Learning for a Multi-Robot Warehouse System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project concerns optimizing the behavior ofmultiple dispatching robots in a virtual warehouse environment.Q-learning and deep Q-learning algorithms, two establishedmethods in reinforcement learning, were used for this purpose. READ MORE