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quick:agents [2020/02/18 15:11] – [Training] jesusmayoralquick:agents [2020/09/03 09:24] pedro
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 # ML-Agents Integration Guide # ML-Agents Integration Guide
  
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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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