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Update tasks.mdx

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nevinaragam
2024-05-13 16:34:12 -06:00
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units/en/unit1/tasks.mdx
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@@ -6,7 +6,7 @@ A task is an **instance** of a Reinforcement Learning problem. We can have two t
In this case, we have a starting point and an ending point **(a terminal state). This creates an episode**: a list of States, Actions, Rewards, and new States.
For instance, think about Super Mario Bros: an episode begin at the launch of a new Mario Level and ends **when you’re killed or you reached the end of the level.**
For instance, think about Super Mario Bros: an episode begins at the launch of a new Mario Level and ends **when you’re killed or you reached the end of the level.**
<figure>
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/mario.jpg" alt="Mario">