karpathy / karpathy/tf-agent

[Question]: Reference for the Policy Gradient implementation

Open
#1 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
147
Forks
34
PR merge metrics
No merged PRs in 30d

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

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.