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# [Your submission name here]

**tldr;**
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**Authors**
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**Publication**
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**Results:**
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**CompilerGym version:**
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line by running:

    python -c 'import compiler_gym; print(compiler_gym.__version__)'
-->

**Is the approach Open Source?**
<!-- Whether you have released the source code of your approach, yes/no. If
yes, please state the license. -->

**Did you modify the CompilerGym source code?**
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e.g. to optimize the implementation or change the environment dynamics. yes/no.
If yes, please briefly summarize the modifications. -->

**What parameters does the approach have?**
<!-- A description of any tuning parameters. -->

**What range of values were considered for the above parameters?**
<!-- Briefly describe the ranges of values that were considered for each
parameter, and the metrics and dataset used to select from the values. -->

**Is the policy deterministic?**
<!-- Whether the (state, action) policy is deterministic, yes/no. -->

## Description

<!-- A brief summary of the approach. Please try to be sufficiently descriptive
such that someone could replicate your approach. Insert links to external sites,
publications, images, or other pages where relevant. -->
