Answers.Body: <p>Despite not a textbook I found the Berkley <a href="https://rail.eecs.berkeley.edu/deeprlcourse/" rel="nofollow noreferrer">lecture series</a> quite good. You have lecture theory and practical homework tasks to solve.
  Another famous learning resource is <a href="https://spinningup.openai.com/en/latest/" rel="nofollow noreferrer">Spinning Up</a>.</p>
  
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Answers.UserDisplayName: NMO
Answers.Body: <p>For me was &quot;The Art of Reinforcement Learning&quot; by Michael Hu the best book so far. On the other side I found the Sutton and Barto Book extremely hard to digest. By the way, check this <a href="https://ai.stackexchange.com/questions/6997/whats-a-good-resource-for-getting-familiar-with-reinforcement-learning?rq=1">link</a> out.</p>
  <p>In case you need MARL or are interested in it, then I suggest the very well academy course made by Phil Tabor <a href="http://www.neuralnet.ai" rel="nofollow noreferrer">www.neuralnet.ai</a>
  It costs some money but it was (for me) definetely worthly</p>
  
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Answers.UserDisplayName: Dave
Body: <p>I am looking for a textbook/other sources on deep reinforcement learning which explain theory along with  good examples. I will be happy for suggestions.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2024-03-26T10:22:42.980Z
Comments.Text: For me was "The Art of Reinforcement Learning" by Michael Hu the best book so far.
  On the other side I found the Sutton and Barto Book extremely hard to digest.
  By the way, check this link out: https://ai.stackexchange.com/questions/6997/whats-a-good-resource-for-getting-familiar-with-reinforcement-learning?rq=1
Comments.UserDisplayName: Dave
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Comments.CreationDate: 2024-03-26T12:14:53.913Z
Comments.Text: MARL is not part of this book.
Comments.UserDisplayName: DSPinfinity
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Comments.CreationDate: 2024-03-26T12:42:18.123Z
Comments.Text: I will often peruse MIT/Stanford for a class on a subject and check the syllabus for what they’re teaching from.
Comments.UserDisplayName: foreverska
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Comments.CreationDate: 2024-03-26T14:54:18.237Z
Comments.Text: @foreverska can you provide any link?
Comments.UserDisplayName: Dave
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Comments.CreationDate: 2024-03-26T15:02:39.513Z
Comments.Text: @DSPinfinity you never mentioned, that you want MARL . In that case I can only suggest the www.neuralnet.ai Academy realized by Phil Tabor. Hi goes into MARL as well.
Comments.UserDisplayName: Dave
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Comments.CreationDate: 2024-03-26T18:26:38.840Z
Comments.Text: @Dave  A lot of the deep RL classes are short on book recommendations other than S&B and some DL book of choice.  But I did find https://www.ji.sjtu.edu.cn/wp-content/uploads/formidable/15/Course-Syllabus-VE693-Fall2021.pdf which says they recommend as reference: "An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning"
Comments.UserDisplayName: foreverska
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Comments.CreationDate: 2024-03-27T14:52:56.620Z
Comments.Text: @Dave Please, write that as an actual answer.
Comments.UserDisplayName: nbro
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Comments.CreationDate: 2024-03-27T14:53:28.770Z
Comments.Text: Does this answer your question? [What are some online courses for deep reinforcement learning?](https://ai.stackexchange.com/questions/18798/what-are-some-online-courses-for-deep-reinforcement-learning), [What introductory books to reinforcement learning do you know, and how do they approach this topic?](https://ai.stackexchange.com/q/22010/2444) or [What's a good resource for getting familiar with reinforcement learning?](https://ai.stackexchange.com/q/6997/2444). Your question is not an exact duplicate but maybe those questions already have the answer.
Comments.UserDisplayName: nbro
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Comments.CreationDate: 2024-03-27T14:55:37.787Z
Comments.Text: If not, I recommend you edit your post and state that. And then I'd encourage users to actually provide answers instead of writing comments
Comments.UserDisplayName: nbro
Tags: <reinforcement-learning><reference-request><books>
Title: Textbooks (or other sources) on deep reinforcement learning which explain theory along with good examples
UserDisplayName: DSPinfinity
ThreadText: # Textbooks (or other sources) on deep reinforcement learning which explain theory along with good examples
  
  (Asked by: username_0 on 2024-03-26)
  
  I am looking for a textbook/other sources on deep reinforcement learning which explain theory along with good examples. I will be happy for suggestions.
  
  **Tags:** reinforcement-learning, reference-request, books
  
  > **Comments:**
  > **username_1**: For me was "The Art of Reinforcement Learning" by Michael Hu the best book so far. On the other side I found the Sutton and Barto Book extremely hard to digest. By the way, check this link out: https://ai.stackexchange.com/questions/6997/whats-a-good-resource-for-getting-familiar-with-reinforcement-learning?rq=1  
  > **username_0**: MARL is not part of this book.  
  > **username_2**: I will often peruse MIT/Stanford for a class on a subject and check the syllabus for what they’re teaching from.  
  > **username_1**: @username_2 can you provide any link?  
  > **username_1**: @username_0 you never mentioned, that you want MARL . In that case I can only suggest the www.neuralnet.ai Academy realized by Phil Tabor. Hi goes into MARL as well.  
  > **username_2**: @username_1  A lot of the deep RL classes are short on book recommendations other than S&B and some DL book of choice.  But I did find https://www.ji.sjtu.edu.cn/wp-content/uploads/formidable/15/Course-Syllabus-VE693-Fall2021.pdf which says they recommend as reference: "An Introduction to Deep Reinforcement Learning. Foundations and Trends in Machine Learning"  
  > **username_3**: @username_1 Please, write that as an actual answer.  
  > **username_3**: Does this answer your question? [What are some online courses for deep reinforcement learning?](https://ai.stackexchange.com/questions/18798/what-are-some-online-courses-for-deep-reinforcement-learning), [What introductory books to reinforcement learning do you know, and how do they approach this topic?](https://ai.stackexchange.com/q/22010/2444) or [What's a good resource for getting familiar with reinforcement learning?](https://ai.stackexchange.com/q/6997/2444). Your question is not an exact duplicate but maybe those questions already have the answer.  
  > **username_3**: If not, I recommend you edit your post and state that. And then I'd encourage users to actually provide answers instead of writing comments  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_4 on 2024-04-04. Score: 1
  
  Despite not a textbook I found the Berkley [lecture series](https://rail.eecs.berkeley.edu/deeprlcourse/) quite good. You have lecture theory and practical homework tasks to solve.
  Another famous learning resource is [Spinning Up](https://spinningup.openai.com/en/latest/).
  
  
  ---
  
  ### Answer by username_1 on 2024-03-27. Score: 0
  
  For me was "The Art of Reinforcement Learning" by Michael Hu the best book so far. On the other side I found the Sutton and Barto Book extremely hard to digest. By the way, check this [link](https://ai.stackexchange.com/questions/6997/whats-a-good-resource-for-getting-familiar-with-reinforcement-learning?rq=1) out.
  
  In case you need MARL or are interested in it, then I suggest the very well academy course made by Phil Tabor [www.neuralnet.ai](http://www.neuralnet.ai)
  It costs some money but it was (for me) definetely worthly
  
  
  ---
  
  