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.
- deeprm
- deeprm2
- deeprm3 with cnn,rnn,and rnn-q-network
- 2019/06/13: create repo and update base lib
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.
[1] HotNets'16 http://people.csail.mit.edu/hongzi/content/publications/DeepRM-HotNets16.pdf
Credit by @rh01