Sökning: "Algoritm"
Visar resultat 11 - 15 av 1248 uppsatser innehållade ordet Algoritm.
11. Exploring the aesthetical qualities of scaled game maps through Human-AI Collaboration
M1-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : The primary objective is to explore the scalability of two-dimensional game maps while preserving certain aesthetical qualities in scaled representations. By either upscaling or downscaling the maps, features of the map inducing these aesthetical qualities may diminish. LÄS MER
12. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER
13. A cross-correlation analysis of a warm super-Neptune using transit spectroscopy
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : A study was made in order to deduce whether certain chemical species, namely water (H2O) and carbon monoxide (CO), are present in the atmosphere of the exoplanet WASP-107 b, which lies about 200 light-years away from Earth in the constellation Virgo. The project was carried out at Uppsala University at the Department of Physics and Astronomy. LÄS MER
14. Performance metrics and velocity influence for point cloud registration in autonomous vehicles
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Autonomous vehicles are currently under study and one of the critical parts is the localization of the vehicle in the environment. Different localization methods have been studied over the years, such as the GPS sensor, commonly fused with other sensors such as the IMU. LÄS MER
15. Multi-Agent Deep Reinforcement Learning in Warehouse Environments
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. LÄS MER