Filed:2021-02-26Pub:2021-06-17
Applicant:LOON LLC
The technology relates to controllers for lighter-than-air vehicles using deep reinforcement learning. A method for generating an objective-directed controller for an aerial vehicle includes defining an action space for an objective-directed controller, providing a set of feature vectors and the action space as input to a simulation module, training, by a learning module, the objective-directed controller according to a reward function correlated with the desired objective, evaluating the trained objective-directed controller, and storing high performing trained objective-directed controller.