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Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.

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DeepRM3

Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment. Implement by either pytorch or tensorflow.

Deadline

  • deeprm
  • deeprm2
  • deeprm3 with cnn,rnn,and rnn-q-network

Changelog

  • 2019/06/13: create repo and update base lib

Project Schedule

This project will use deep-reinforcement-learning as agent algorithm, and use syn dataset and pratical dataset as training data, and state-of-art model is concered.

Reference

[1] HotNets'16 http://people.csail.mit.edu/hongzi/content/publications/DeepRM-HotNets16.pdf

Credit

Credit by @rh01

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Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.

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