Implementación y evaluación de algoritmos de aprendizaje por refuerzo para tareas de control de drones en un ambiente de simulación realista

The recent success of the Deep Reinforcement Learning (DRL) algorithms opened its use in different environments and dynamical systems. We present the behavior of a complex dynamic system (quadrotor) in basic tasks as hovering and X-Y displacement in a realistic simulator. The DRL algorithms used wer...