Properties of a temporal difference reinforcement learning brain machine interface driven by a simulated motor cortex.
Aditya Tarigoppula, Nick Rotella, Joseph T Francis
Annu Int Conf IEEE Eng Med Biol Soc | IEEE | Published : 2012
Our overall goal is to develop a reinforcement learning (RL) based decoder for brain machine interfaces. As an important step in this process, we determine the basic stability and convergence properties of a Temporal Difference (TD) RL architecture being driven by a simulated motor cortex.