机器学习增强学习工程要点【待完成】

原創 tangwing 2020-04-27 11:02

TensorFlow

  1. 主要concept是首先定义好tensor计算网络，包括各个node涉及的操作等等。需要读取值的时候使用session.run发起计算。有些lambda的感觉。为了调试方面，也有eager模式，运算立即执行。
  2. 涉及到Neural Network可以使用TF中Keras，更加方便而且API比较稳定。
  3. 注意TF2.0版本与之前的区别

Gym

  1. OpenAI的Gym可以方便地进行RL实验，也可以注册自己的environement

 

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