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Visar resultat 1 - 5 av 205 uppsatser som matchar ovanstående sökkriterier.

1. 1. LEO Satellite Connectivity for flying vehicles

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jinxuan Chen; [2023]
   Nyckelord :LEO satellite network; satellite connectivity strategy; Nash-SAC; flying vehicles; LEO:s satellitnät; Strategi för satellitanslutning; Nash-SAC; flygande fordon;

   Sammanfattning : Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. LÄS MER

3. 2. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Forsell; Shamoun Gergi; [2023]
   Nyckelord :Higher Order Knowledge; Imperfect Information; Reinforcement Learning; Deep Q- networks; Knowledge Representation; Pursuit Evasion Games;

   Sammanfattning : Imagine for a moment we are living in the distant future where autonomous robots are patrollingthe streets as police officers. Two such robots are chasing a robber through the city streets. Fearingthe thief might listen in to any potential transmission, both robots remain radio silent and are thuslimited to a strictly visual pursuit. LÄS MER

4. 3. Multi-Agent Deep Reinforcement Learning in Warehouse Environments

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :John Cao; Mikael Hammarling; [2023]
   Nyckelord :;

   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

5. 4. Coordinate­Free Spacecraft Formation Control with Global Shape Convergence under Vision­Based Sensing

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Omid Mirzaeedodangeh; [2023]
   Nyckelord :Bispherical Coordinates; 3D Formation Control; Spacecraft Formation Flying; Multiagent Systems; Prescribed Performance Control; Vision-Based Sensing; Bisfäriska Koordinater; 3D Formationskontroll; Rymdfarkostformationsflygning; Multiagentsystem; Föreskriven Prestandakontroll; Synbaserad Avkänning;

   Sammanfattning : Formation control in multi-agent systems represents a groundbreaking intersection of various research fields with lots of emerging applications in various technologies. The realm of space exploration also can benefit significantly from formation control, facilitating a wide range of functions from astronomical observations, and climate monitoring to enhancing telecommunications, and on-orbit servicing and assembly. LÄS MER

7. 5. Optimal taxation by two-agent reinforcement learning

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Erik Lindau; [2023]
   Nyckelord :;

   Sammanfattning : An economy’s tax policy is one of the vital moments for, on the one hand, stimulating economic growth and labor, and, on the other hand gaining revenues from economic performance. A sufficient level of tax revenues is further important to keep up with governmental obligations and social welfare. LÄS MER