<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>

CC BY-SA 4.0
2022-07-22T09:16:46.263Z
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).
Community
CC BY-SA 4.0
2022-07-22T10:02:22.657Z
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.
Neil Slater
CC BY-SA 4.0
2022-07-22T08:32:48.180Z
2022-07-22T08:32:48.180Z
NLPLover
<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>

CC BY-SA 4.0
2022-07-19T07:40:17.063Z
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
Neil Slater
<reinforcement-learning>
Play against your own RL-trained AI from gym retro
NLPLover
# 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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