Critique

Overall, this article is well-written and interesting, especially for someone who has no prior knowledge in this. As the other critique mentions, the applications part could be fleshed out a bit more as the article is a little too concise. Here are a couple of minor comments:

Critique

1) It would be great if you can number the sub-headings under Example. Maybe: Step 1, Step 2 etc.? Initially, I didn't realize that the subheadings were going to sequentially build the example.

2) "For example, if there were 12 chromosomes, there would be six remaining after halving. Then, if a chromosome had rank 1, then its probability would be 6/21." Could you please further explain how a rank 1 chromosome has a probability of 6/21?

3) Not quite sure if Evolutionary Reinforcement Learning is the most important application of Genetic Algorithms. Why are we looking into this in particular while the other applications are combined in a small paragraph below? Some further motivation for why we're specifically looking into Evolutionary Reinforcement Learning would be appreciated.

4) Also, Evolutionary Reinforcement Learning kind of shows up in the article out of nowhere with little to no introduction, immediately after the previous example has been discussed. A little introduction (where you also possibly highlight the significance of this particular application) would really help.

2) A citation/reference for evolutionary reinforcement learning would be appreciated for anyone who wants to read more about this.

Minor edits 1) *In the ERL model, agents interact with an environment containing food, predators, and other objects.