Sökning: "Agent Navigation"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden Agent Navigation.
1. Comparison of Airport check-in allocation policies using agent-based simulation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The airline industry has been one of the fastest growing industries in the past decades. This growth causes an increased strain on all parts of the industry, such as airports. In airports, one of the leading causes of passenger waiting is the check-in process. LÄS MER
2. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.
Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)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
3. Evaluation of Velocity Obstacle Approaches for Groups of Agents Navigating Everyday Scenarios
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
4. The Interconnectivity Between SLAM and Autonomous Exploration : Investigation Through Integration
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Two crucial functionalities of a fully autonomous robotic agent are localization and navigation. The problem of enabling an agent to localize itself in an unknown environment is an extensive and widely studied topic. One of the main areas of this topic focuses on Simultaneous Localization and Mapping (SLAM). LÄS MER
5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER