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Aug 8, 2021
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Tiny text typo #441

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2 changes: 1 addition & 1 deletion docs/src/tutorial.md
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Expand Up @@ -36,7 +36,7 @@ In this simple game, we are interested in finding out an optimum policy for the
agent to gain the maximum cumulative reward in an episode. The random selection
policy above is a good benchmark. The only thing left is to calculate the total
reward. Because such workflow is so common in reinforcement learning tasks, an
extended `Base.run` function is provided so that we can desgin the workflow in
extended `Base.run` function is provided so that we can design the workflow in
a descriptive pattern.

```@repl randomwalk1d
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