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/develop-generalizationTraining-TrainerController
Vincent Gao 7 年前
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  1. 8
      README.md
  2. 2
      docs/Getting-Started-with-Balance-Ball.md

8
README.md


For any other questions or feedback, connect directly with the ML-Agents
team at ml-agents@unity3d.com.
## License
[Apache License 2.0](LICENSE)
## License
[Apache License 2.0](LICENSE)

2
docs/Getting-Started-with-Balance-Ball.md


```python
python3 python/learn.py <env_file_path> --run-id=<run-identifier> --train
```
**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.

Once the training process completes, and the training process saves the model
(denoted by the `Saved Model` message) you can add it to the Unity project and
use it with agents having an **Internal** brain type.
**Note:** Do not just close the Unity Window once the `Saved Model` message appears. Either wait for the training process to close the window or press Ctrl+C at the command-line prompt. If you simply close the window manually, the .bytes file containing the trained model is not exported into the ml-agents folder.
### Setting up TensorFlowSharp Support

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