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DDPG

DDPG in Pytorch

仿真环境

gym中的LunarLanderContinuous-v2

环境依赖

  • gym
  • numpy
  • matplotlib
  • python3.6
  • pytorch1.6

文件描述

  • train.py为训练脚本，配置好环境后直接运行即可，不过需要在当前目录下创建output_images文件夹，用于放置生成的仿真结果；
  • network.py为网络脚本，包括演员网络和评论家网络；
  • buffer.py为经验回放池脚本；
  • DDPG.py为DDPG算法的实现脚本；
  • utils.py为工具箱脚本，里面主要放置一些通过函数；
  • test.py为测试脚本，通过加载训练好的权重在环境中进行测试，测试训练效果。

仿真结果

详见output_images文件夹

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