My research interests are computational algebra, dynamical systems and artificial intelligence. In particular, reinforcement learning which involves maximization of future rewards for an agent acting in an environment. In this regard, I study dynamical systems induced by approximate operators. Iterated convergence here can generate super-human strategies with the core idea of tabula rasa. That is, we ask the machine to find an optimal solution without human interference.