Answers.Body: <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>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2024-08-28T05:41:53.587Z
Answers.LastActivityDate: 2024-08-28T05:41:53.587Z
Answers.UserDisplayName: Tomasz Witkowski
Body: <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>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-08-28T07:46:01.200Z
Comments.Text: 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.
Comments.UserDisplayName: David
Tags: <reinforcement-learning>
Title: Material suggestion for policy gradient methods in reinforcement learning?
UserDisplayName: DSPinfinity
ThreadText: # 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.  
  
  ---
  
  ## 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.
  
  
  ---
  
  