|
|
|
|
|
|
every training run are saved to the same directory and will all be included |
|
|
|
on the same graph. |
|
|
|
|
|
|
|
To summarize, go to your Anaconda command line, activate the ml-agents environment, enter the `ml-agents` directory and type: |
|
|
|
To summarize, go to your command line, enter the `ml-agents` directory and type: |
|
|
|
**Note**: If you're using Anaconda, don't forget to activate the ml-agents environment first. |
|
|
|
|
|
|
|
The `--train` flag tells ML-Agents to run in training mode. `env_file_path` should be the path to the Unity executable that was just created. |
|
|
|
|
|
|
|