Parisa Karimi

While working at CCN as a summer research associate, Parisa Karimi proposed a biologically plausible rule for the brain to learn the optimal controller in a nonlinear dynamical system by utilizing a multi-agent reinforcement learning technique in a reproducing kernel Hilbert space.

Currently Parisa is a doctoral candidate at University of Illinois at Urbana Champaign.