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https://github.com/bytedance/offline-rl-congestion-control

https://github.com/bytedance/offline-rl-congestion-control

Science Score: 13.0%

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    CITATION.cff file
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    Found codemeta.json file
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    .zenodo.json file
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    Scientific vocabulary similarity
    Low similarity (4.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bytedance
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 21.5 MB
Statistics
  • Stars: 7
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

NOTES

This repo is for the Ten-TMS team to participate in the RL challenge.

emulatedatadir is supposed to located at "./emulateddataset" testbeddatadir is supposed to located at "./testbeddataset" We also suppose a directory called data_dir for further data split which is "./" by default

Before training, the program will split the dataset into train, validation, test data, which will be moved to folders './emulateddataset', './trainevaldataset', './evaldataset', respectively.

We pre-store the behavior of baseline model for after-train evaluation. The file is baselineeval.pkl, which is located at './emulateddataset'.

Please feel free to contact us if necessary. zhangwei.666@bytedance.com

Quick Evaluation

create ./figs directory, then run runtentms_model.py

1. Dependencies

pip install -r requirements.txt

2. Generate Test Set and Validation Set

Set the pathconfig.json, then run testset_generator.py

3. Generate Pretrain Model

Set the pretrain_config.json, then run pretrain/train.py

4. Finetune Model

Set the finetune_config.json, the run fintune/train.py

Owner

  • Name: Bytedance Inc.
  • Login: bytedance
  • Kind: organization
  • Location: Singapore

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Dependencies

requirements.txt pypi
  • matplotlib *
  • netron *
  • numpy *
  • onnx *
  • onnxruntime *
  • torch *
  • torchaudio *
  • torchvision *
  • tqdm *