most citedMARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs

2 citations · 3 across the 3 of their papers we have counts for

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cs.LG2022

Utilizing Synthetic Data in Supervised Learning for Robust 5-DoF Magnetic Marker Localization

Mengfan Wu, Thomas Langerak, Otmar Hilliges +1

Tracking passive magnetic markers plays a vital role in advancing healthcare and robotics, offering the potential to significantly improve the precision and efficiency of systems.…