Genetic network programming with reinforcement learning for generating agent behavior in the benchmark problems

A new graph-based evolutionary algorithm named "genetic network programming, GNP" has been proposed. GNP represents its solutions as graph structures which have distinguished expression ability. In this paper, we propose GNP with reinforcement learning. Evolutionary algorithm of GNP makes a very compact graph structure and reinforcement learning of GNP improves search speed for solutions.