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quick:agents [2020/02/18 15:11] – [Training] jesusmayoralquick:agents [2020/09/03 09:25] – pedro
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 # ML-Agents Integration Guide # ML-Agents Integration Guide
  
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 The script `FiredBullet` consists in giving intelligence to the bullet, so it can tell if the it has impacted the player, besides autodestroy passed 2 seconds (or whatever the time indicated by the parameter). Additionally, the bullet has information about its creator, which will be used for knowing who to inform of the impact. Therefore, we have to add the following C# script to the Bullet prefab, after removing the script used in previous tutorials. The script `FiredBullet` consists in giving intelligence to the bullet, so it can tell if the it has impacted the player, besides autodestroy passed 2 seconds (or whatever the time indicated by the parameter). Additionally, the bullet has information about its creator, which will be used for knowing who to inform of the impact. Therefore, we have to add the following C# script to the Bullet prefab, after removing the script used in previous tutorials.
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 <code csharp> <code csharp>
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  }  }
 </code> </code>
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 The code should be self-explanatory, but we have to note several things: The code should be self-explanatory, but we have to note several things:
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 - We have 2 continuous actions, one to rotate and one to shoot, that is the space size. - We have 2 continuous actions, one to rotate and one to shoot, that is the space size.
  
-You need to train our Enemy for having a proper behavior, but, for now, we give you a trained model that you can set in the `Behavior parameters`  {{:wiki:agents:cubeagentlearningbrain.zip}}. It would be a good challenge to try getting a better model than this.+You need to train our Enemy for having a proper behavior, but, for now, we give you a trained model that you can set in the `Behavior parameters`  {{:wiki:agents:cubeagentlearningmodel.zip}}. It would be a good challenge to try getting a better model than this.
  
  
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 The node used to execute `ML-Agents` in `Behavior Bricks` lets also to train a behavior inside a behavior tree. To do so, We have to follow the same procedure as indicated in [ML-Agents guides.](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md) The node used to execute `ML-Agents` in `Behavior Bricks` lets also to train a behavior inside a behavior tree. To do so, We have to follow the same procedure as indicated in [ML-Agents guides.](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md)
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