An offline approach to fNIRS-guided reinforcement learning for robot behavior
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来源：arXiv cs.RO发布时间待核实
arXiv:2607.14393v2 Announce Type: replace Abstract: Human-in-the-loop Reinforcement Learning has become a popular approach for training, finetuning, and aligning robot behavior with user preferences. Our paper explores the feasibility of using brain signals via functional near-infrared spectroscopy (fNIRS) to modulate robot learning in simulation.