AAAI 2026technical0 citations
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
Julia Santaniello, Matthew Russell, Benson Jiang, Donatello Sassaroli, Robert Jacob, Jivko Sinapov
Abstract
Reinforcement Learning from Human Feedback (RLHF) is a methodology that aligns agent behavior with human preferences by integrating human feedback into the agent
BibTeX
@inproceedings{aaai2026_towardsreinforce,
title = {Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance},
author = {Julia Santaniello and Matthew Russell and Benson Jiang and Donatello Sassaroli and Robert Jacob and Jivko Sinapov},
booktitle = {AAAI 2026},
year = {2026}
}