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Update mid-way-recap.mdx #606

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2 changes: 1 addition & 1 deletion units/en/unit2/mid-way-recap.mdx
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Expand Up @@ -6,7 +6,7 @@ We have two types of value-based functions:

- State-value function: outputs the expected return if **the agent starts at a given state and acts according to the policy forever after.**
- Action-value function: outputs the expected return if **the agent starts in a given state, takes a given action at that state** and then acts accordingly to the policy forever after.
- In value-based methods, rather than learning the policy, **we define the policy by hand** and we learn a value function. If we have an optimal value function, we **will have an optimal policy.**
- In value-based methods, rather than learning the policy, **we focus on learning a value function**. An optimal value function, **will lead us to an optimal policy.**

There are two types of methods to update the value function:

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