Update README.md

README.md

@@ -7,7 +7,7 @@
 ## Executable installation
 
 Extracts content of the release into a folder wherever.
-
+1. From [Releases](https://github.com/Stektpotet/NeuralCommander/releases), get the newest one.
 2. Install latest python 3.6 (with pip!!!)
     1. add python + python/Scripts to env variables
 3. Download [ml-agents-0.5.0a repo](https://github.com/Unity-Technologies/ml-agents.git)
@@ -26,6 +26,7 @@ Extracts content of the release into a folder wherever.
 ```
 
 ## Project installation
+0. Clone repository
 1. Install [Unity 2018.2](https://store.unity.com/download) (through Unity Hub most versions of Unity are available)
 2. Install latest python 3.6 (with pip!!!)
     1. add python + python/Scripts to env variables
@@ -54,14 +55,23 @@ Extracts content of the release into a folder wherever.
 10. set editor to use .Net 4.x equivalent
 11. set editor "Scripting Defined Symbols": `ENABLE_TENSORFLOW, BOOTCAMP`
 12. Download [TensorFlowSharp plugin for unity (link will download directly)](https://s3.amazonaws.com/unity-ml-agents/0.5/TFSharpPlugin.unitypackage)
-13. import into your project (you will be prompted for this when doubleclicking the file while also having your unity project open)
+13. import into the project (you will be prompted for this when doubleclicking the file while also having your unity project open)
 
-14. from commandline (virtualenv activated [C:\>.\venv\Scripts\activate]):
+# Running training
+## Using the release-executable
+From the commandline with virtualenv activated (`C:\>.\venv\Scripts\activate`):
 ```
-   > mlagents-learn --help 	//validate that the installation is working
-   > mlagents-learn ../config/trainer_config.yaml --run-id="Brain tag for the given run" --train //start trainer
+   > cd some_path/ml-agents-0.5.0a/ml-agents
+   > mlagents-learn --help 	#validate that the installation is working
+   > mlagents-learn c:\path\to\the\executable\trainer_config.yaml env="c:\path\to\the\executable\Neural Commander.exe" --run-id="SOME_IDENTIFIER" [--load] --train #starts trainer
 ```
 when the message "INFO:mlagents.envs:Start training by pressing the Play button in the Unity Editor." appears, press play in the editor
 
-# MORE
-## TODO
+## Using the project files in Unity
+1. Open the Unity Project
+2. from the commandline with virtualenv activated (`C:\>.\venv\Scripts\activate`):
+```
+   > cd some_path/ml-agents-0.5.0a/ml-agents
+   > mlagents-learn --help 	#validate that the installation is working
+   > mlagents-learn c:\path\to\the\project\Assets\trainer_config.yaml --run-id="SOME_IDENTIFIER" [--load] --train #starts trainer
+```