Decoding Meta-RL Strategies in VR Environment

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This study aims to apply the EEG meta-BCI system that estimates learning strategies of the subject on a virtual environment. While the model estimates the learning strategies the subject performs the penalty kick game, which is basically same as the two-stage MDP task. Well trained BCI system is possible to decode not only the learning strategy but also the decisions made.

Contact: Dongjae Kim (kim10481@kaist.ac.kr)

 

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