Evaluate your optimizer

In order to evaluate your optimizer, you can run:

python evaluate.py --problem=$problem_name --optimizer=L2L --path=$path_to_the_saved_model

where $problem_name is the name of your problem; --optimizer gives the name of the optimizer and --path is the path to your trained model. For instance, in order to evalute a 2D Rastrigin function, you can set --problem=square_cos_2d and --path=../trained_models/square_cos_2/.