I'm fully informed about this area of research. Including other research that found simple linear methods could also get good results over a large number of gam

I'm fully informed about this area of research. Including other research that found simple linear methods could also get good results over a large number of games and DeepMind's recent work where far less computationally involved methods as random projections and Nearest neighbors outperformed Deep Reinforcement learners at the more complex 3D mazes and Frostbite. But like I keep emphasizing, you can't take a neural net trained on space invaders and have it play Asteroids because each is a task specialized program that was the result of a search. While the search method is more general, the resulting program is not. You can use a single algorithm as simple as linear methods based reinforcement learning and get great results across a wide swathe of tasks but you can't claim to have found a universal learner.