Das Ziel dieser Arbeit ist es zu zeigen, dass sich die vorgestellte Simulationsumgebung zur Umsetzung und Entwicklung eines selbstlernenden Reglers für autonome Wasserfahrzeuge eignet. Als Anwendungsgebiet wird ein bereits bestehendes Miniaturschiff …
Reinforcement learning allows a self-learning agent to stabilize an unmanned aerial vehicle in uncontrolled flight states. To achieve this, a deep deterministic policy gradient algorithm is applied. Through extensions like experience replay memory, …
This paper is concerned with improving the testing conditions within the Carolo-Cup project through the addition of a simulator for generating testing images. Within the Carolo project, autonomous model vehicles are developed for participation in …
One of the most difficult challenges in reinforcement learning is the continuous control of systems in a continuous state and action space. This papers goal is to design and implement a reinforcement learning based airplane autopilot that controls an …