Sökning: "Q-Learning"
Visar resultat 11 - 15 av 95 uppsatser innehållade ordet Q-Learning.
11. Amplifying heap overflow vulnerability detection with reinforcement learning
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : 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
12. Optimizing Energy Consumption in a Real-Time System Using Artificial Intelligence
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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
13. Reinforcement Learning for Pickup and Delivery Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
14. Model Checked Reinforcement Learning For Multi-Agent Planning
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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
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 rymdteknikSammanfattning : 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