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README.md

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@@ -8,6 +8,8 @@ This type of network should also be studied in the context of continual learning
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Adaptation to vision transformers is [here](https://github.com/lucidrains/vit-pytorch/blob/main/vit_pytorch/normalized_vit.py)
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Update: The normalized feedforward was successfully applied for improving UTD for off-policy reinforcement learning [in a new paper](https://dojeon-ai.github.io/SimbaV2/)
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## Install
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```bash

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