Sökning: "Q-learning"

Visar resultat 11 - 15 av 95 uppsatser innehållade ordet Q-learning.

  1. 11. Amplifying heap overflow vulnerability detection with reinforcement learning

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Erik Thomasson; Ludwig Wideskär; [2023]
    Nyckelord :;

    Sammanfattning : The extensive development of cyberspace and the increasing potential for cybersecu-rity vulnerabilities demand the constant production of improved methods for detect-ing and mitigating vulnerabilities in software. In a perfect world, there would be atool that detects and mitigates all types of vulnerabilities in all types of software, butunfortunately, that is not the reality. LÄS MER

  2. 12. Optimizing Energy Consumption in a Real-Time System Using Artificial Intelligence

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Caroline Lisa Pereira; [2023]
    Nyckelord :;

    Sammanfattning : In energy-efficient real-time embedded system design, the objective is to reduce energy consumption while meeting the tasks' timing requirements. Real-time Dynamic Voltage and Frequency Scaling (DVFS) methods aim at achieving this by scaling the frequency at which a single processor or multiple processors in the system operate, but they often assume that the tasks' deadlines are known and their arrival times are regular. LÄS MER

  3. 13. Reinforcement Learning for Pickup and Delivery Systems

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

    Författare :Erika Sandhagen; Sarah Magnusson; [2023]
    Nyckelord :;

    Sammanfattning : In this project multi-agent reinforcement learning (RL) for a warehouse environmentwith robots delivering packages has been studied. This was done by first implementing the RLalgorithm Q-learning and investigating how the parameters of Q-learning affect the performanceof the algorithm. LÄS MER

  4. 14. Model Checked Reinforcement Learning For Multi-Agent Planning

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

    Författare :Erik Wetterholm; [2023]
    Nyckelord :MALTA; UPPAAL; UPPAAL STRATEGO; TImed Games; Q-Learning; Timed Automata; Timed Games;

    Sammanfattning : Autonomous systems, or agents as they sometimes are called can be anything from drones, self-driving cars, or autonomous construction equipment. The systems are often given tasks of accomplishing missions in a group or more. This may require that they can work within the same area without colliding or disturbing other agents' tasks. LÄS MER

  5. 15. Energy Sustainable Reinforcement Learning-based Adaptive Duty-Cycling in Wireless Sensor Networks-based Internet of Things Networks

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Nadia Charef; [2023]
    Nyckelord :Reinforcement Learning; Q-learning; Dynamic Energy Management; Energy Sustainabiltiy; IEEE802.15.4 MAC Protocol; Adaptive Duty Cycling; Wireless Sensors Networks; Internet of Things;

    Sammanfattning : The Internet of Things (IoT) is widely adopted across various fields due to its flexibility and low cost. Energy-harvesting Wireless Sensor Networks (WSNs) are becoming a building block of many IoT applications and provide a perpetual source of energy to power energy-constrained IoT devices. LÄS MER