You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/Training-ML-Agents.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -20,7 +20,7 @@ The basic command for training is:
20
20
21
21
where `<env_file_path>` is the path to your Unity executable containing the agents to be trained and `<run-identifier>` is an optional identifier you can use to identify the results of individual training runs.
22
22
23
-
For example, suppose you have a project in Unity named "CatsOnBicyclesCatsOnBicycles" which contains agents ready to train. To perform the training:
23
+
For example, suppose you have a project in Unity named "CatsOnBicycles" which contains agents ready to train. To perform the training:
24
24
25
25
1. Build the project, making sure that you only include the training scene.
0 commit comments