Key points are not available for this paper at this time.
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.
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