Answers.Body: <p>I dont understand why the post is downvoted.</p>
  <ol>
  <li>I understand that you can use gym-retro to build a reinforcement learning agent to play some particular game, lets say street fighter.</li>
  <li>What I want to know is, is it possible to fight against that agent that you have trained, rather than watching a mere trailer (render) of that agent fighting against the CPU bot in that game. If it is possible, then how should I go about doing it, assuming I have a trained rl agent for street fighter. Any resources out there that can guide this, since the python gym-retro does not have too much details on deployment of trained agents vs humans</li>
  </ol>
  
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Answers.CreationDate: 2022-07-22T09:16:46.263Z
Answers.Text: As it’s currently written, your answer is unclear. Please [edit] to add additional details that will help others understand how this addresses the question asked. You can find more information on how to write good answers [in the help center](/help/how-to-answer).
Answers.UserDisplayName: Community
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Answers.Text: The new details are helpful. However, you have posted them as an answer to your question. Please edit the question instead and put the new details in there.
Answers.UserDisplayName: Neil Slater
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Answers.CreationDate: 2022-07-22T08:32:48.180Z
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Answers.UserDisplayName: NLPLover
Body: <p>so far I have seen people implementing reinforcement learning to build an AI to play and complete games on gym retro, such as street fighter, racing games and so on. However, I was wondering if it is possible to play against your own trained AI to get some sort of human evaluation? Anyone has any idea for this? Thank you</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-07-19T07:40:17.063Z
Comments.Text: Most of the games on Gym are one player. If this is specifically about gym retro, then identifying a game you want to do with this, and any progress/ideas you have so far would help narrow things down. Clearly in general it's possible to play a game against an AI, so it would help to know a little more about your setup and your plans
Comments.UserDisplayName: Neil Slater
Tags: <reinforcement-learning>
Title: Play against your own RL-trained AI from gym retro
UserDisplayName: NLPLover
ThreadText: # Play against your own RL-trained AI from gym retro
  
  (Asked by: username_0 on 2022-07-19)
  
  so far I have seen people implementing reinforcement learning to build an AI to play and complete games on gym retro, such as street fighter, racing games and so on. However, I was wondering if it is possible to play against your own trained AI to get some sort of human evaluation? Anyone has any idea for this? Thank you
  
  **Tags:** reinforcement-learning
  > **Comments:**
  > **username_1**: Most of the games on Gym are one player. If this is specifically about gym retro, then identifying a game you want to do with this, and any progress/ideas you have so far would help narrow things down. Clearly in general it's possible to play a game against an AI, so it would help to know a little more about your setup and your plans  
  
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  ## 1 answers
  
  ### Answer by username_0 on 2022-07-22. Score: 0
  
  I dont understand why the post is downvoted.
  
  1. I understand that you can use gym-retro to build a reinforcement learning agent to play some particular game, lets say street fighter.
  2. What I want to know is, is it possible to fight against that agent that you have trained, rather than watching a mere trailer (render) of that agent fighting against the CPU bot in that game. If it is possible, then how should I go about doing it, assuming I have a trained rl agent for street fighter. Any resources out there that can guide this, since the python gym-retro does not have too much details on deployment of trained agents vs humans
  
  > **Comments:**
  > **username_2**: As it’s currently written, your answer is unclear. Please [edit] to add additional details that will help others understand how this addresses the question asked. You can find more information on how to write good answers [in the help center](/help/how-to-answer).  
  > **username_1**: The new details are helpful. However, you have posted them as an answer to your question. Please edit the question instead and put the new details in there.  
  
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