Hierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments

Artificially intelligent agents are seeing increased adoption in both the video game and simulation industry for training, education, and entertainment purposes. These systems often need realistic and believable opponents that must achieve objectives in the face of competing and contradictory priori...

Full description

Saved in:
Bibliographic Details
Main Authors: Charles Newton, Christopher Ballinger, Michael Sloma, Keith Brawner
Format: Article
Language:English
Published: LibraryPress@UF 2022-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/130718
Tags: Add Tag
No Tags, Be the first to tag this record!