Function Approximation Methods

So far, in the Reinforcement Learning Phase, we have looked at tabular methods for calculating the value functions. That is, the states and their values are represented in the form of tables. In most practical problems, these methods are not useful, since the number of states are quite large. For example, the number of states in a game of chess ...

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