[Question]: Reference for the Policy Gradient implementation
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- Python
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Description
Hi Andrej,
first of all thank you for sharing with us your code and for your really interesting blog that contains a lot of valuable resources for students like me :)
I've carefully studied the code reported in this repository in order to better understand how to implement Policy Gradient. It was a bit hard to follow the original *REINFORCE* paper by Williams but your implementation and the one reported in the [*rllab* library](https://github.com/openai/rllab), give me the possibility to implement the algorithm.
I have seen that you use a lot of tricks in order to stabilize and enhance the original version of the algorithm. Could you please share with us a reference for the implementation that you have written? I think that can be really useful in order to fully understand the code and the reasons behind the tricks that you've applied.
Thank you for your availability.
Best regards,
Alessandro
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