Various genetic algorithm experiments.

1.base

Fitness: Match fixed number.
Genes: single float.
Mutation: random.random.

2.gym

Fitness: Openai gym.
Genes: nn weights, implemented in numpy.
Mutation: sample nn weight shifts from normal distribution.

3.parallelized

Same as 2.gym parallelized with ray.

Fitness: Openai gym.
Genes: nn weights, implemented in numpy.
Mutation: sample nn weight shifts from normal distribution.

4.cma-es

Fitness: Openai gym.
Genes: nn weights, implemented in numpy.
Using CMA-ES to sample weights.