Manuela Pollak, Andrea Salfinger, Karin Anna Hummel,
"Teaching drones on-the-fly: Can emotional feedback serve as learning signal for training artificial agents?"
, Serie arXiv.org, Seite(n) 1-6, 2-2022, ISSN: 2331-8422
Original Titel:
Teaching drones on-the-fly: Can emotional feedback serve as learning signal for training artificial agents?
Sprache des Titels:
Englisch
Original Kurzfassung:
We investigate whether naturalistic emotional human feedback can be directly exploited as a reward signal for training artificial agents via interactive human-in-the-loop reinforcement learning. To answer this question, we devise an experimental setting inspired by animal training, in which human test subjects interactively teach an emulated drone agent their desired command-action-mapping by providing emotional feedback on the drone's action selections. We present a first empirical proof-of-concept study and analysis confirming that human facial emotion expression can be directly exploited as reward signal in such interactive learning settings. Thereby, we contribute empirical findings towards more naturalistic and intuitive forms of reinforcement learning especially designed for non-expert users.
Sprache der Kurzfassung:
Englisch
Serie:
arXiv.org
Seitenreferenz:
1-6
Erscheinungsmonat:
2
Erscheinungsjahr:
2022
ISSN:
2331-8422
Anzahl der Seiten:
6
Notiz zur Publikation:
B2: Accepted at the AAAI-22 Workshop on Interactive Machine Learning
Forschungs-