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Simple grammatical change in q-learning.mdx

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Keshavram Kuduwa
2025-06-02 16:58:16 +05:30
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units/en/unit2/q-learning.mdx
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@@ -19,7 +19,7 @@ The **Q comes from "the Quality" (the value) of that action at that state.**
Let's recap the difference between value and reward:
- The *value of a state*, or a *state-action pair* is the expected cumulative reward our agent gets if it starts at this state (or state-action pair) and then acts accordingly to its policy.
- The *reward* is the **feedback I get from the environment** after performing an action at a state.
- The *reward* is the **feedback it gets from the environment** after performing an action at a state.
Internally, our Q-function is encoded by **a Q-table, a table where each cell corresponds to a state-action pair value.** Think of this Q-table as **the memory or cheat sheet of our Q-function.**