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3.3. Reinforcement Learning Speaking of reinforcement learning, there are two main approaches: value-based and policy-based. The goal of the former is to maximise a function which evaluates the total reward expected to be accumulated in the future iterations starting at a particular state. Once such a value function has been learned, it is used by the agent at each step to pick such an action which is believed to maximise the value of this function.
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