In recent years, we have been able to transfer the evolutionary capabilities of nature to one of our closest companions: computers. The newer machine learning disciplines of Reinforcement Learning (RL) and Evolutionary Algorithms (EA) use properties of biology and neuroscience to learn by trial-and-error and recombine the fittest algorithms to solve a problem. But what will the real-life impact of Reinforcement Learning and Evolutionary Algorithms be? Let's explore!
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