Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
PulseAugur coverage of Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities — every cluster mentioning Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities across labs, papers, and developer communities, ranked by signal.
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Human-in-the-Loop ML for Safer Autonomous Vehicles Explored
A new arXiv paper explores the integration of Human-in-the-Loop Machine Learning (HITL-ML) techniques to enhance the safety and ethical considerations of autonomous vehicles (AVs). The paper details how human input, thr…
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fNIRS brain signals guide robot reinforcement learning
Researchers have developed an offline approach to guide robot behavior using functional near-infrared spectroscopy (fNIRS) brain signals. This method integrates neural data into reinforcement learning algorithms, augmen…