Reinforcement Learning, Ciencia De Dados, Data Science, Machine Learning.
np.arange(1,self.vsize+1,1)] self.left_edge = [h*10+1 for h in np.arange(1,self.hsize+1,1)] self.right_edge = [h*10+self.vsize for h in np.arange(1,self.hsize+1,1)] self.initial_state = pos_start self.state = self.initial_state self.pos_target = pos_target def __repr__(self): return f"Grid de