removed the change not belong to this one

Author: xiaomaogy

README.md

@@ -73,10 +73,10 @@ make sure to include as much detail as possible.
 For any other questions or feedback, connect directly with the ML-Agents
 team at [email protected].
 
-## License
-
-[Apache License 2.0](LICENSE)
-
 ## Translation
 
 - [Chinese](docs/localized/zh-CN/README.md)
+
+## License
+
+[Apache License 2.0](LICENSE)

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

@@ -272,7 +272,6 @@ To summarize, go to your command line, enter the `ml-agents` directory and type:
 ```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. 
 
@@ -317,7 +316,6 @@ during a successful training session.
 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