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, …
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 …
This work presents an approach for learning secure step positions, with the objective that the four-legged robot AMEE can safely walk in rough terrain. The autonomous task to be mastered is to identify features of the surrounding area. The …