A reward of +1 is provided for collecting a yellow banana, and a reward of -1 is provided for collecting a blue banana. The goal of the agent is to collect as many yellow bananas as possible while avoiding blue bananas.

The state space has 37 dimensions and contains the agent's velocity, along with ray-based perception of objects around agent's forward direction. Given this information, the agent has to learn how to best select actions. Four discrete actions are available, corresponding to:

• 0 - move forward.
• 1 - move backward.
• 2 - turn left.
• 3 - turn right.

The task is episodic, and in order to solve the environment, your agent must get an average score of +13 over 100 consecutive episodes.

1. I recommend you install python 3.6 and the virtual environment you prefer.
2. You need to download the Unity environment that matches your operating system:
   • Linux: click here
   • Mac OSX: click here
   • Windows (32-bit): click here
   • Windows (64-bit): click here You will need to use this file when you run the "Navigation_Solution" notebook
3. Run "jupyter notebook" and click in "Navigation_solution.ipynb" notebook.
4. You need to run the first cell from "Navigation_solution.ipynb" notebook - with the command "!pip -q install ./python" - to install all python dependencies.
5. In the "Navigation_solution.ipynb" notebook, in step 3, put the path of the Unity environment file downloaded.