Sökning: "Autonomous Agent"

Visar resultat 1 - 5 av 91 uppsatser innehållade orden Autonomous Agent.

  1. 1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Jonas Wedén; [2024]
    Nyckelord :Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

    Sammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. 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. Exogenous Fault Detection in Aerial Swarms of UAVs

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Maja Westberg; [2023]
    Nyckelord :Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER

  5. 4. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

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

    Författare :Marinaro Davide; [2023]
    Nyckelord :Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Sammanfattning : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. LÄS MER

  7. 5. Distance-Based Formation Control, Maneuvering and Flip Ambiguity Avoidance in Multi-Agent Systems

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

    Författare :Kristoffer Germalm; Yassir Fiddi; [2023]
    Nyckelord :;

    Sammanfattning : Formation control is a fundamental concept in the field of robotics, where a group ofagents is directed to achieve a specific formation or pattern. This report investigates decentralizeddistance-based formation control strategies for multiagent formation control, with a focus on controllaw design dealing with flip ambiguity issues, and centroid maneuvering. LÄS MER