Last time, I showcased some basics of Evolutionary Algorithms, which can elegantly solve black box problems. Today I extend it to train agents using reinforcement learning and neural networks. If you want to check it out for yourself, feel free to look at the source code. Reinforcement learning is a branch of machine learning where agents aim to learn some behavior that maximizes the reward obtained in some environment by taking the right actions given a particular state.