Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications
Su Kyoung Kim,Elsa Andrea Kirchner,Frank Kirchner,Su Kyoung Kim,Elsa Andrea Kirchner,Frank Kirchner
Flexible adaptation of learning strategy depending on online changes of the user's current intents have a high relevance in human-robot collaboration. In our previous study, we proposed an intrinsic interactive reinforcement learning approach for human-robot interaction, in which a robot learns his/her action strategy based on intrinsic human feedback that is generated in the human's brain as neur...
