Multi-Armed Bandits in Brain-Computer Interfaces

HIGHLIGHTS

• who: Frida Heskebeck from the The University of Tokyo, Japan have published the paper: Multi-Armed Bandits in Brain-Computer Interfaces, in the Journal: (JOURNAL)
• what: The authors provide a pedagogical Python script for MAB novices that can act as a starting point for future BCI research, inspired by Fruitet et_al : https://gitlab.control.lth.se/ FridaH/mab_for_bci-public/-/tree/main/MAB_for_BCI_1.
• future: The authors present some directions for future research and draw parallels to the MAB variants in Table 1. Section 3 highlights existing examples of MABs in the context of BCIs . . .
  

   

  

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