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[Docs] Update README.md (pytorch#1667)
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vaibhav-009 authored Oct 31, 2023
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Expand Up @@ -369,7 +369,7 @@ And it is `functorch` and `torch.compile` compatible!
tensordict = env.reset()
assert tensordict.device == torch.device("cuda:0")
```
Other transforms include: reward scaling (`RewardScaling`), shape operations (concatenation of tensors, unsqueezing etc.), contatenation of
Other transforms include: reward scaling (`RewardScaling`), shape operations (concatenation of tensors, unsqueezing etc.), concatenation of
successive operations (`CatFrames`), resizing (`Resize`) and many more.

Unlike other libraries, the transforms are stacked as a list (and not wrapped in each other), which makes it
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