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AITrans_Competition

全球智能网络传输竞赛

Dependency

Tested in macOS and Linux

  • OpenAI gym
  • Tensorflow v1.11
  • Python 3.6
  • stable_baselines

Our Alogrithm

An Actor-Critic Approach with Auxiliary Network for Adaptive Video Streaming

Construct Input

The Architecture

Throughput 是一个很重要的特征,并且 Agent 的策略好坏不会影响 Throughput ,如果我们可以预知下一时刻的 Throughput,Agent 就可以利用这个信息做出更好的决策。

因此,我们添加了一个辅助网络,用来预测下一个时刻的 Throughput,它和策略价值网络一样,共享 Network A。辅助网络通过训练,能够更准确地预测 Throughput,同时 P V 网络也通过共享的 Network A 间接地提取到了更有用的高阶特征,从而增强整个 Model 的 表现。

A2C + Throughput Prediction vs A2C

REF

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