Vision-Based Reinforcement Learning for the guidance of an AR Drone 2

Reinforcement Learning (RL) has been applied to teach quadcopters guidance tasks. Most applications rely on position information from an absolute reference<br/>system such as Global Positioning System (GPS). The dependence on "absolute<br/>position" information is a general limitation in the autonomous flight of Unmanned Aerial Vehicles (UAVs)....

Potential Field Methods for Safe Reinforcement Learning: Exploring Q-Learning and Potential Fields

A Reinforcement Learning (RL) agent learns about its environment through exploration. For most physical applications such as search and rescue UAVs, this exploration must take place with safety in mind. Unregulated exploration, especially at the beginning of a run, will lead to fatal situations such as crashes. One approach to mitigating these...