Sökning: "multi-agent"

Visar resultat 11 - 15 av 205 uppsatser innehållade ordet multi-agent.

1. 11. Simplifying multi-agent games with imperfect information against nature using predetermined strategies : Reducing the complexity of strategy synthesis for games by treating things in our control as if they were out of our control

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

   Författare :Oskar Malmström; [2023]
   Nyckelord :Multi-agent Games; Imperfect Information; Strategy Synthesis; Abstraction Construction; Fleragentsspel; Imperfekt Information; Strategisyntes; Abstraktionskonstruktion;

   Sammanfattning : We study games on graphs, where a coalition of agents work against an adversarial nature to achieve an objective. The agents have to collaborate while making their moves simultaneously, while receiving differing information about the state of the game and without a means of agent-to-agent communication. LÄS MER

3. 12. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

   Master-uppsats,

   Författare :Nishant Pillai; Roberto Giaconia; [2023]
   Nyckelord :;

   Sammanfattning : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. LÄS MER

4. 13. 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

5. 14. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

   Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Isaac Arnold McSey; [2023]
   Nyckelord :Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

   Sammanfattning : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. LÄS MER

7. 15. 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