Opinion-Guided Reinforcement Learning

K Dagenais, I David - arxiv preprint arxiv:2405.17287, 2024 - arxiv.org
Human guidance is often desired in reinforcement learning to improve the performance of
the learning agent. However, human insights are often mere opinions and educated …

Human-in-the-Loop Robot Learning for Smart Manufacturing: A Human-Centric Perspective

H Chen, S Li, J Fan, A Duan, C Yang… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Robot learning has attracted an ever-increasing attention by automating complex tasks,
reducing errors, and increasing production speed and flexibility, which leads to significant …

Are You Sure?-Multi-Modal Human Decision Uncertainty Detection in Human-Robot Interaction

L Scherf, LA Gasche, E Chemangui… - Proceedings of the 2024 …, 2024 - dl.acm.org
In a question-and-answer setting, the respondent is often not only communicating the
requested information but also indicating their confidence in the answer through various …

A Quantum Probabilistic Comparator: Circuit Implementation

L Nguyen, Z Jiang - NAECON 2023-IEEE National Aerospace …, 2023 - ieeexplore.ieee.org
Decision making in stochastic autonomous systems, which considers uncertainty of many
factors, is always a challenge. The problem can typically be addressed by probabilistic …