Open AccessHierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments
Author(s) -
Charles R. Newton,
Christopher Ballinger,
Michael Sloma,
Keith Brawner
Publication year - 2022
Publication title -
proceedings of the ... international florida artificial intelligence research society conference
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2334-0762
pISSN - 2334-0754
DOI - 10.32473/flairs.v35i.130718
Subject(s) - variety (cybernetics) , reinforcement learning , computer science , hierarchy , entertainment , human–computer interaction , artificial intelligence , art , economics , market economy , visual arts