<p>I like these explanations:</p>
<p><a href="https://spinningup.openai.com/en/latest/spinningup/rl_intro3.html" rel="nofollow noreferrer">https://spinningup.openai.com/en/latest/spinningup/rl_intro3.html</a></p>
<p><a href="https://lilianweng.github.io/posts/2018-04-08-policy-gradient/" rel="nofollow noreferrer">https://lilianweng.github.io/posts/2018-04-08-policy-gradient/</a></p>
<p>I think you can find what you seek in both of them.</p>

CC BY-SA 4.0
2024-08-28T05:41:53.587Z
2024-08-28T05:41:53.587Z
Tomasz Witkowski
<p>I am looking for material suggestion for policy gradient methods in reinforcement learning
such that it involves mathematical derivations and good explanations.</p>
<p>I will be happy for suggestions.</p>

CC BY-SA 4.0
2024-08-28T07:46:01.200Z
Sutton and Barto the book is as good as any for an introduction with some maths behind it. Then, when you have a good understanding, you can read their original paper on the subject.
David
<reinforcement-learning>
Material suggestion for policy gradient methods in reinforcement learning?
DSPinfinity
# Material suggestion for policy gradient methods in reinforcement learning?

(Asked by: username_0 on 2024-08-28)

I am looking for material suggestion for policy gradient methods in reinforcement learning
such that it involves mathematical derivations and good explanations.

I will be happy for suggestions.

**Tags:** reinforcement-learning

> **Comments:**
> **username_1**: Sutton and Barto the book is as good as any for an introduction with some maths behind it. Then, when you have a good understanding, you can read their original paper on the subject.  

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## 1 answers

### Answer by username_2 on 2024-08-28. Score: 1 | Accepted answer

I like these explanations:

<https://spinningup.openai.com/en/latest/spinningup/rl_intro3.html>

<https://lilianweng.github.io/posts/2018-04-08-policy-gradient/>

I think you can find what you seek in both of them.


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