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Fix typos and grammar (huggingface#454)
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deep-rl-intro.md

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@@ -255,7 +255,7 @@ In Super Mario Bros, we have a finite set of actions since we have only 4 direct
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- *Continuous space*: the number of possible actions is **infinite**.
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<figure class="image table text-center m-0 w-full">
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<img src="assets/63_deep_rl_intro/self_driving_car.jpg" alt="Self Driving Car"/>
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<figcaption>A Self Driving Car agent has an infinite number of possible actions since it can turn left 20°, 21°, 22°, honk, turn right 20°, 20,1°…
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<figcaption>A Self Driving Car agent has an infinite number of possible actions since it can turn left 20°, 21,1°, 21,2°, honk, turn right 20°…
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</figcaption>
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</figure>
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@@ -501,9 +501,9 @@ If we recap:
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## **The “Deep” in Reinforcement Learning**
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Wait… you spoke about Reinforcement Learning, but why we spoke about Reinforcement Learning?
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What we've talked about so far is Reinforcement Learning. But where does the "Deep" come into play?
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Deep Reinforcement Learning introduces **deep neural networks to solve Reinforcement Learning problems** — hence the name “deep.”
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Deep Reinforcement Learning introduces **deep neural networks to solve Reinforcement Learning problems** — hence the name “deep”.
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For instance, in the next article, we’ll work on Q-Learning (classic Reinforcement Learning) and then Deep Q-Learning both are value-based RL algorithms.
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