Hierarchical Reinforcement Learning for Air Combat At DARPA's AlphaDogfight Trials

Article

Abstract: Autonomous control in high-dimensional, continuous state spaces is a persistent and important challe

Palabras claves:

Air combat, Artificial Intelligence, Atmospheric modeling, Autonomy, Deep reinforcement learning, entropy, hierarchical reinforcement learning, reinforcement learning, Task analysis, TRAINING, Weapons

Autores:

Alcedo K., Henry Díaz, Ide J.S., Javorsek D., Micovic D., Pope A.P., Ritholtz L., Rosenbluth D., Twedt J.C., Walker T.T.

Fuentes:

scopus