We typically would solve a lot of the same types of problems with RL today because it’s more efficient. In EA if a candidate fails we throw it away. In RL we l

We typically would solve a lot of the same types of problems with RL today because it’s more efficient. In EA if a candidate fails we throw it away. In RL we learn from that experience. RL gets harder when rewards are really sparse. OpenAI developed evolution strategies which is a bit of a hybrid.