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Published 20 hours ago • verified publisher icon harvard-edge
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QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

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About the QAT code

Hello , I noticed that your contribution has contained QAT in qat.py , but when I read the code of train.py ,I found there is no real quantization of each...

JingdiZhou avatar JingdiZhou

Bump tensorflow from 1.15.2 to 2.11.1 in /baseline

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.2 to 2.11.1. Release notes Sourced from tensorflow's releases. TensorFlow 2.11.1 Release 2.11.1 Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting...

dependabot[bot] avatar dependabot[bot]

dependencies

Doubt regarding Quantization

Hello, I appreciate the paper content and indeed I was able to understand it perfectly with the source code. I have a doubt regarding the application of quantization you used,...

kailashg26 avatar kailashg26

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verified publisher icon harvard-edge

Metadata

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

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