Essays about: "Reinforcement Learning"
Showing result 6 - 10 of 433 essays containing the words Reinforcement Learning.
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6. LEO Satellite Connectivity for flying vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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7. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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8. Transformer Offline Reinforcement Learning for Downlink Link Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE
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9. “An accidental heroine” : An Investigation of Gender Representation and Gender-based Stereotypes in Swedish Digital EFL Learning Material
University essay from Stockholms universitet/Engelska institutionenAbstract : The endeavour for gender equality and against gender-based patterns (stereotypes) are topics often discussed in relation to education. Correspondingly, extensive research on textbooks used in schools around the world has been conducted, some of which include the aspect of people beyond the binary. READ MORE
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10. Multi-Agent Deep Reinforcement Learning in Warehouse Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE