G4P, written in python, solves OpenAI Gym Reinforcement Learning problems through the use of grammar guided genetic programming.
G4P is developed in a parametric and modular way with respect to the information provided by the different Gym environments, so most of them can be used as a starting input to evolve their agents.
Chromosomes that evolve with G4P are python programs, which will act as actors that will solve the Gym environment in use.