Sökning: "Interacting Agents"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Interacting Agents.

1. 1. Förändringsarbetet på fikapauserna: : en fallstudie av oplanerade förändringar på Handelsbanken

   Kandidat-uppsats, SLU/Dept. of Economics

   Författare :Aya Yasmin Abou-Naja; Sandra Dahlstrand; [2023]
   Nyckelord :Oplanerad förändring; förändringsmekanismer; organisationskultur; hållbarhetsförändring; Unplanned change; change mechanisms; organizational culture; sustainability change;

   Sammanfattning : Förändringar i organisationer kan komma i flertalet olika former, strukturer, och omfattningar. Ett förändringsarbete som sker på fikapauserna i en organisation är en lös och oplanerad förändring där den drivande förändringsagenten är medarbetarna och deras sociala interaktioner. LÄS MER

3. 2. 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

4. 3. 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

5. 4. 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. 5. Evaluation of Velocity Obstacle Approaches for Groups of Agents Navigating Everyday Scenarios

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

   Författare :Jessica Gorwat; Amanda Hallstedt; [2023]
   Nyckelord :;

   Sammanfattning : As recent years have seen an increase in use of robotics in both public and private spaces, evaluations to ensure safe and efficient navigation through common scenarios are needed. The same evaluations can improve simulations of human behaviour used in for example evacuation simulations. LÄS MER