Essays about: "best path algorithm"
Showing result 11 - 15 of 57 essays containing the words best path algorithm.
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11. Labyrinth Navigation Using Reinforcement Learning with a High Fidelity Simulation Environment
University essay from Linköpings universitet/ReglerteknikAbstract : This is a master thesis on the subject of navigation and control using reinforcementlearning, more specifically discrete Q-learning. The Q-learning algorithmis used to develop a steer policy from training inside of a simulation environment.The problem is to navigate a steel ball through a maze made from walls and holes. READ MORE
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12. Simultaneous Bayesian parameter estimation and particle-tracking including calculation of mis-linking probabilities
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Since 1994 super-resolution microscopes enable us to visualize processes in the nanome- ter regime where bio-molecules work. Consequently, there is a great need for methods analyzing the generated data to transfer the motion of molecules, seen as white dots, into trajectories. READ MORE
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13. Hardware-Accelerated Ray Tracing of Implicit Surfaces : A study of real-time editing and rendering of implicit surfaces
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Rasterization of triangle geometry has been the dominating rendering technique in the real-time rendering industry for many years. However, triangles are not always easy to work with for content creators. READ MORE
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14. Adaptive Beam Management in 5G-NR: A Machine Learning Perspective
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this rapid era of technology, speed of communication has become an important factor. To overcome this challenge, 5G/NR technology is being explored. One of the ways of doing this is by using the so called millimeter wave spectrum. READ MORE
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15. Machine Learning Technique for Beam Management in 5G NR RAN at mmWave Frequencies
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Ericsson has an interest in investigating if the fast-growing concept known as machine learning can be applied to beam management, in a 5G NR environment using mmWave frequencies. Because of the high path-loss at mmWave frequencies and high throughput demands of 5G NR systems it is crucial to the UE to always stay connected to the most suitable beam, to provide highest possible throughput. READ MORE
