Sökning: "multi-agent"
Visar resultat 21 - 25 av 205 uppsatser innehållade ordet multi-agent.
21. 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)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
22. Multi-Agent Information Gathering Using Stackelberg Games
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
23. Minimizing network utilization in event-triggered control of multi-agent system
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : The exact solution to a set of equations modeling the event-triggered control of a multi-agent system is derived and computed up to a specified error on the time between events. An attempt to minimize the number of events of the solution subject to bounds on overshoot and convergence time is made using a differential evolution method. LÄS MER
24. Reinforcement Learning for Pickup and Delivery Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this project multi-agent reinforcement learning (RL) for a warehouse environmentwith robots delivering packages has been studied. This was done by first implementing the RLalgorithm Q-learning and investigating how the parameters of Q-learning affect the performanceof the algorithm. LÄS MER
25. Model Checked Reinforcement Learning For Multi-Agent Planning
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Autonomous systems, or agents as they sometimes are called can be anything from drones, self-driving cars, or autonomous construction equipment. The systems are often given tasks of accomplishing missions in a group or more. This may require that they can work within the same area without colliding or disturbing other agents' tasks. LÄS MER