https://www.selleckchem.com/pr....oducts/Cyclopamine.h
We show how this analysis can be utilized to select optimal robust policies for an RL-BCI and demonstrate its use on EEG data. We propose here a principled method to determine the optimal policy complexity of an RL problem with a noisy reward, which we argue is particularly useful for RL-based BCI paradigms. This framework may be used to minimize initial training time and allow for a more dynamic and robust shared control between the agent and the operator under different conditions. We propose here a principled method to determine