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Visar resultat 1 - 5 av 62 uppsatser som matchar ovanstående sökkriterier.

  1. 1. 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

  3. 2. Multi-robot coordination and planning with human-in-the-loop under STL specifications : Centralized and distributed frameworks

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

    Författare :Yixiao Zhang; [2023]
    Nyckelord :Multi-agent systems; Human-in-the-loop systems; Signal temporal logic; Cooperative control; ROS Implementation; Multi-agent-system; Människa-i-loop-system; Signaltemporallogik; Samarbetande styrning; ROS-implementering;

    Sammanfattning : Recent urbanization and industrialization have brought tremendous pressure and challenges to modern autonomous systems. When considering multiple complex tasks, cooperation and coordination between multiple agents can improve efficiency in a system. LÄS MER

  4. 3. Building a Simulation Model for Evaluating Safety Techniques in Plug-and-Produce Robot Cells

    Master-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskap

    Författare :Hazzaa Osman; [2023]
    Nyckelord :Plug and produce; safety; simulation;

    Sammanfattning : This thesis research aims to develop a virtual model utilizing a simulation robot cell comprising one or multiple robots and establishing seamless communication with CMAS (Configurable Multi-Agent System) for control purposes. The successful implementation of this setup yielded significant benefits, particularly in pre-risk assessment for the robot cell in Plug and Produce (P&P) operations. LÄS MER

  5. 4. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

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

    Författare :Andreu Matoses Gimenez; [2023]
    Nyckelord :Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

    Sammanfattning : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. LÄS MER

  7. 5. Multi-Agent Information Gathering Using Stackelberg Games

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

    Författare :Yiming Hu; [2023]
    Nyckelord :Information gathering; Autonomous exploration; Multi-agent coordination; Multi-agent system; Informationsinsamling; Autonom utforskning; Samordning av flera agenter; multiagentsystem;

    Sammanfattning : Multi-agent information gathering (MA-IG) enables autonomous robots to cooperatively collect information in an unfamiliar area. In some scenarios, the focus is on gathering the true mapping of a physical quantity such as temperature or magnetic field. LÄS MER