addressing comments from Marwan

docs/Installation.md

 </p>
 
 ## Environment Setup
-For setting up your environment follow this [guide](Using-Virtual-Environment.md).
+We now support a single mechanism for installing ML-Agents on Mac/Windows/Linux using Virtual
+Environments. For more information on Virtual Environments and installation instructions, 
+follow this [guide](Using-Virtual-Environment.md).
 
 ### Clone the ML-Agents Toolkit Repository
 

docs/Readme.md

 
 * [Installation](Installation.md)
   * [Background: Jupyter Notebooks](Background-Jupyter.md)
-  * [Using Virtual Environment](Using-Virtual-Environment.md) (Recommended)
+  * [Using Virtual Environment](Using-Virtual-Environment.md)
 * [Basic Guide](Basic-Guide.md)
 
 ## Getting Started
 
 * [Training ML-Agents](Training-ML-Agents.md)
 * [Using TensorBoard to Observe Training](Using-Tensorboard.md)
+* [Training Using Concurrent Unity Instances](Training-Using-Concurrent-Unity-Instances.md)
 * [Training with Proximal Policy Optimization](Training-PPO.md)
 * [Training with Soft Actor-Critic](Training-SAC.md)
 
 * [Training with Imitation Learning](Training-Imitation-Learning.md)
 * [Training with LSTM](Feature-Memory.md)
 * [Training Generalized Reinforcement Learning Agents](Training-Generalized-Reinforcement-Learning-Agents.md)
-* [Training Using Concurrent Unity Instances](Training-Using-Concurrent-Unity-Instances.md)
-you. If you do try them out, please share your experience with us, and feel free to submit a PR
-with any necessary changes.
+you.
 
 * [Training on the Cloud with Amazon Web Services](Training-on-Amazon-Web-Service.md)
 * [Training on the Cloud with Microsoft Azure](Training-on-Microsoft-Azure.md)

docs/Training-on-Amazon-Web-Service.md

 # Training on Amazon Web Service
 
+Note: We no longer use this guide ourselves and so it may not work correctly. We've 
+decided to keep it up just in case it is helpful to you.
+
 This page contains instructions for setting up an EC2 instance on Amazon Web
 Service for training ML-Agents environments.
 

docs/Training-on-Microsoft-Azure.md

 # Training on Microsoft Azure (works with ML-Agents toolkit v0.3)
 
+Note: We no longer use this guide ourselves and so it may not work correctly. We've 
+decided to keep it up just in case it is helpful to you.
+
 This page contains instructions for setting up training on Microsoft Azure
 through either
 [Azure Container Instances](https://azure.microsoft.com/services/container-instances/)

docs/Using-Virtual-Environment.md

 
 ## What is a Virtual Environment?
 A Virtual Environment is a self contained directory tree that contains a Python installation 
-for a particular version of Python, plus a number of additional packages.  
+for a particular version of Python, plus a number of additional packages. To learn more about 
+Virtual Environments see [here](https://docs.python.org/3/library/venv.html)
-A Virtual Environment keeps all dependencies for the project separate from dependencies 
+A Virtual Environment keeps all dependencies for the Python project separate from dependencies 
 of other projects. This has a few advantages:
 1. It makes dependency management for the project easy.
 1. It enables using and testing of different library versions by quickly