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Update units/en/unit2/two-types-value-based-methods.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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@@ -12,7 +12,7 @@ But what does it mean to act according to our policy? After all, we don't have a
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Remember that the goal of an **RL agent is to have an optimal policy π.**
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To find it, we learned that there are two different methods:
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To find the optimal policy, we learned about two different methods:
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- *Policy-based methods:* **Directly train the policy** to select what action to take given a state (or a probability distribution over actions at that state). In this case, we **don't have a value function.**
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