Reinforcement Learning, Evolutionary Algorithms, Biophysics, Drug Discovery, Biology.
sampling a population from a distribution, evaluating fitness, and finally updating the distribution based on the population’s top performers. CMA-ES is useful because it increases search breadth when the difference between the best performing and the average agents is large. The difference is