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Update basic_usage.md to be more clear on installing swig for MacOS users (#1358)

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Javad Koushyar
2025-04-12 06:56:11 -05:00
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docs/introduction/basic_usage.md
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@@ -49,7 +49,7 @@ In reinforcement learning, the classic "agent-environment loop" pictured below i
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```
For Gymnasium, the "agent-environment-loop" is implemented below for a single episode (until the environment ends). See the next section for a line-by-line explanation. Note that running this code requires installing swig (`pip install swig` or [download](https://www.swig.org/download.html)) along with `pip install "gymnasium[box2d]"`.
For Gymnasium, the "agent-environment-loop" is implemented below for a single episode (until the environment ends). See the next section for a line-by-line explanation. Note that running this code requires installing swig (`pip install swig`, [download](https://www.swig.org/download.html), or via [Homebrew](https://formulae.brew.sh/formula/swig) if you are using macOS) along with `pip install "gymnasium[box2d]"`.
```python
import gymnasium as gym