Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revisionBoth sides next revision | ||
| quick:agents [2020/02/18 15:05] – [Setting-Up the execution with Behavior Bricks] jesusmayoral | quick:agents [2020/02/18 15:11] – [Training] jesusmayoral | ||
|---|---|---|---|
| Line 279: | Line 279: | ||
| - The second branch will be `MoveToGameObject` node with a `IsTargetClose` decorator. | - The second branch will be `MoveToGameObject` node with a `IsTargetClose` decorator. | ||
| - | - In `IsTargetClose` set 17 as the close distance. For the `target` we will create a blackboard input parameter called `target`. | + | - In `IsTargetClose` set 15 as the close distance. For the `target` we will create a blackboard input parameter called `target`. |
| - In `MoveToGameObject ` set `target` as the `target`. | - In `MoveToGameObject ` set `target` as the `target`. | ||
| Line 326: | Line 326: | ||
| ## Training | ## Training | ||
| - | The node used to execute `ML-Agents` in `Behavior Bricks` lets also to train a behavior inside a behavior tree. To do so, the only thing that has to be done is to check the control checkbox in the academy in the brain that we want to train. | + | 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:// |
| - | + | ||
| - | Then we have to follow the same procedure as indicated in [ML-Agents guides.](https:// | + | |