42 lines
778 B
Markdown
42 lines
778 B
Markdown
# Policy Gradient
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实现的是Policy Gradient最基本的REINFORCE方法
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## 原理讲解
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参考我的博客[Policy Gradient算法实战](https://blog.csdn.net/JohnJim0/article/details/110236851)
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## 环境
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python 3.7.9
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pytorch 1.6.0
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tensorboard 2.3.0
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torchvision 0.7.0
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## 程序运行方法
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train:
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```python
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python main.py
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```
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eval:
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```python
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python main.py --train 0
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```
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tensorboard：
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```python
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tensorboard --logdir logs
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```
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## 参考
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[REINFORCE和Reparameterization Trick](https://blog.csdn.net/JohnJim0/article/details/110230703)
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[Policy Gradient paper](https://papers.nips.cc/paper/1713-policy-gradient-methods-for-reinforcement-learning-with-function-approximation.pdf)
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[REINFORCE](https://towardsdatascience.com/policy-gradient-methods-104c783251e0) |