Answers.Body: <p>Of course, you can, and yes this has been researched and done before. By using supervised learning, you give the <em>machine</em> some data, and it will try to figure the best way to analyze and predict the next movement in case of an <strong>inverted pendulum</strong> problem.</p>
  <p>I found a complete paper for this problem: <a href="https://www.researchgate.net/publication/228798837_Neural_network_control_of_an_inverted_pendulum_on_a_cart" rel="nofollow noreferrer">Neural network control of an inverted pendulum on a cart</a> by Valeri Mladenov et al.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-04-21T11:03:44.623Z
Answers.LastActivityDate: 2021-01-16T20:11:37.557Z
Answers.LastEditDate: 2021-01-16T20:11:37.557Z
Answers.UserDisplayName: Coderio
Body: <p>I know that <a href="https://www.youtube.com/watch?v=5Q14EjnOJZc" rel="nofollow noreferrer">reinforcement learning has been used to solve the inverted pendulum problem</a>.</p>
  
  <p>Can supervised learning be used to solve the <a href="https://en.wikipedia.org/wiki/Inverted_pendulum" rel="nofollow noreferrer">inverted pendulum</a> problem? </p>
  
  <p>For example, there could be an interface (e.g. a joystick) with the cart-pole system, which the human can use to balance the pole and, at the same time, collect a dataset for supervised learning. Has this been done before?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-11-29T08:45:38.750Z
Comments.Text: Yes, you can do it, for example [this](https://arxiv.org/pdf/1805.11592.pdf) paper uses YouTube videos to learn how to play difficult game Montezuma's Revenge
Comments.UserDisplayName: Brale
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-16T20:13:05.203Z
Comments.Text: You may also be interested in [this post](https://ai.stackexchange.com/q/14167/2444).
Comments.UserDisplayName: nbro
Tags: <machine-learning><reinforcement-learning><robotics><supervised-learning>
Title: Can supervised learning be used to solve the inverted pendulum problem?
UserDisplayName: blazingcannon
ThreadText: # Can supervised learning be used to solve the inverted pendulum problem?
  
  (Asked by: username_0 on 2019-11-27)
  
  I know that [reinforcement learning has been used to solve the inverted pendulum problem](https://www.youtube.com/watch?v=5Q14EjnOJZc).
  
  Can supervised learning be used to solve the [inverted pendulum](https://en.wikipedia.org/wiki/Inverted_pendulum) problem?
  
  For example, there could be an interface (e.g. a joystick) with the cart-pole system, which the human can use to balance the pole and, at the same time, collect a dataset for supervised learning. Has this been done before?
  
  **Tags:** machine-learning, reinforcement-learning, robotics, supervised-learning
  > **Comments:**
  > **username_1**: Yes, you can do it, for example [this](https://arxiv.org/pdf/1805.11592.pdf) paper uses YouTube videos to learn how to play difficult game Montezuma's Revenge  
  > **username_2**: You may also be interested in [this post](https://ai.stackexchange.com/q/14167/2444).  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_3 on 2020-04-21. Score: 1
  
  Of course, you can, and yes this has been researched and done before. By using supervised learning, you give the *machine* some data, and it will try to figure the best way to analyze and predict the next movement in case of an **inverted pendulum** problem.
  
  I found a complete paper for this problem: [Neural network control of an inverted pendulum on a cart](https://www.researchgate.net/publication/228798837_Neural_network_control_of_an_inverted_pendulum_on_a_cart) by Valeri Mladenov et al.
  
  
  ---
  
  