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Reinforcement learning is an area of machine learning concerned with how agents should take actions in an environment in order to maximize the notion of a so-called cumulative reward. This is a way of solving an optimal control problem without having a model of the environment. This comes at the price of having to make many experiments.
Hansson et al. (Fri,) studied this question.