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Opinion-Guided Reinforcement Learning
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 …
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
Robot learning has attracted an ever-increasing attention by automating complex tasks,
reducing errors, and increasing production speed and flexibility, which leads to significant …
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 …
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 …
factors, is always a challenge. The problem can typically be addressed by probabilistic …