Sökning: "Robust Reinforcement Learning"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden Robust Reinforcement Learning.

  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. Explainable AI for Multi-Agent Control Problem

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hanna Prokopova; [2023]
    Nyckelord :;

    Sammanfattning : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. LÄS MER

  4. 3. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

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

    Författare :Cai Tianzhang; [2023]
    Nyckelord :;

    Sammanfattning : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. LÄS MER

  5. 4. Data-Driven Adaptive Control of Unmanned Surface Vehicles Using Learning-Based Model Predictive Control

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Markus Svedberg; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In this thesis, the subject of data-driven control of Unmanned Surface Vehicles (USVs) is explored. The control task is formulated through Nonlinear Model Predictive Path Following Control (NMPFC). System identification (SYSID) and Reinforcement Learning (RL) are employed to improve performance in a data-driven manner. LÄS MER

  7. 5. Machine Learning Algorithms for Quantum Systems

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Oskar Fallgren; Adam Fredriksson; [2023]
    Nyckelord :;

    Sammanfattning : The Schrödinger equation is a fundamental differential equation in quantum mechanics, and solving it for general potentials is difficult even using numerical methods. In recent years, machine learning has become a popular tool for finding solutions to partial differential equations in general, and the Schrödinger equation in particular. LÄS MER