Essays about: "RL network"
Showing result 11 - 15 of 49 essays containing the words RL network.
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11. Aerial View Image-Goal Localization with Reinforcement Learning
University essay from Lunds universitet/Matematik LTHAbstract : With an increased amount and availability of unmanned aerial vehicles (UAVs) and other remote sensing devices (e.g. satellites) we have recently seen an explosion in computer vision methodologies tailored towards processing and understanding aerial view data. READ MORE
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12. Energy Efficient Communication Scheduling for IoT-based Waterbirds Monitoring: Decentralized Strategies
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Monitoring waterbirds have several benefits, including analyzing the number of endangered species, giving a reliable indication of public health, etc. Monitoring waterbirds in their habitat is a challenging task since the location is distant, and the collection of monitoring data requires large bandwidth. READ MORE
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13. Offline Reinforcement Learning for Optimization of Therapy Towards a Clinical Endpoint
University essay from KTH/Medicinteknik och hälsosystemAbstract : The improvement of data acquisition and computer heavy methods in recentyears has paved the way for completely digital healthcare solutions. Digitaltherapeutics (DTx) are such solutions and are often provided as mobileapplications that must undergo clinical trials. READ MORE
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14. Personalization with Reward Shaping for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Remote electrical tilt (RET) optimization involves maximizing the coverage and minimizing interference for antennas in a cellular network. A RET optimization problem typically has many of antennas, each of which has little data. Reinforcement learning (RL) agents have recently been deployed to solve RET optimization problems [1, 2]. READ MORE
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15. Explainable Reinforcement Learning for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Controlling antennas’ vertical tilt through Remote Electrical Tilt (RET) is an effective method to optimize network performance. Reinforcement Learning (RL) algorithms such as Deep Reinforcement Learning (DRL) have been shown to be successful for RET optimization. READ MORE