Searched for: subject:"Autonomous%5C+Control"
(1 - 4 of 4)
document
van Zeumeren, Ilse (author)
This project is focussed on a design for stimulating interaction amongst passengers in the Seabubble. The Seabubble is an autonomous hydrofoil that is able to fly above water. The Seabubble can transport 4 to 5 passengers on inland waterways. The hydrofoil-technology creates a whole new travel-experience because it provides very stable and...
master thesis 2020
document
Fris, Rein (author)
Deep Reinforcement Learning (DRL) enables us to design controllers for complex tasks with a deep learning approach. It allows us to design controllers that are otherwise cumbersome to design with conventional control methodologies. Often, an objective for RL is binary in nature. However, exploring in environments with sparse rewards is a problem...
master thesis 2020
document
Vonk, Bart (author)
Research on reinforcement learning algorithms to play complex video games have brought forth controllers surpassing human performance. This paper explores the possibilities of applying these techniques to the sequencing and spacing of aircraft. Two experiments are performed. First a single aircraft must learn to fly a 4D trajectory using only...
master thesis 2019
document
Schonebaum, G. (author)
master thesis 2016
Searched for: subject:"Autonomous%5C+Control"
(1 - 4 of 4)