Well the failure of multilayer perceptrons to converge into useful models was because of limited compute scale, which eventually was solved with the advent of p

Well the failure of multilayer perceptrons to converge into useful models was because of limited compute scale, which eventually was solved with the advent of powerful GPU's and CUDA popularising using their parallel computationa meant for graphics rendering for the linear operations used during back propogation. Maybe the problem isn't that the RL algorithm is wrong, but that it just doesn't work without a 3 billion year, atom resolution, planet scale computer.