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Overview

In this assignment, you will apply the concepts you learned about in
the previous few modules – neural networks, reinforcement learning, and
Q-algorithms – to design the code for a pathfinding intelligent agent.
Specifically, you will be designing code for a pirate non-player
character (NPC) that is part of a larger treasure hunt video game. The
pirate will need to navigate the game world, which consists of different
pathways and obstacles, in order to find the treasure. The pirate
agent’s goal is to find the treasure before the human player.

You have been provided with some starter code and a sample
environment where your pirate agent will be placed. You will need to
create a deep Q-learning algorithm to train your pirate agent. In this
milestone, you will be turning in the code for your pirate intelligent
agent so that you can receive feedback from your instructor before
turning in your final code (along with your design defense) when
submitting Project Two.

Prompt

1. Before creating your pirate intelligent agent, be sure to review the Pirate Intelligent Agent Specifications document. This document provides details about the code that you have been given and what aspects you will need to create.

1. Download the zipped folder containing
   your starter code and Project Two Jupyter Notebook. Upload the zipped
   folder into the Virtual Lab (Apporto), unzip the folder, and upload the
   files into Jupyter Notebook. Use the Virtual Lab Student Guide and Jupyter Notebook in Apporto (Virtual Lab) Tutorial to help you with these tasks.

1. Be sure to review the starter code that you have been given. Watch the Project Two Walkthrough (https://www.youtube.com/watch?v=snRe-zLzEy4video)to help you understand this code in more detail. A video transcript is available: Transcript for Project Two Walkthrough video.

   IMPORTANT: Do not modify any of the PY files that you have been given.

1. Complete the code for the Q-Training Algorithm section in your Jupyter Notebook. In order to successfully complete the code, you must do the following:
   1. Develop code that meets the given specifications:
      1. Complete the program for the intelligent agent so that it achieves its goal: The pirate should get the treasure.
      2. Apply a deep Q-learning algorithm to solve a pathfinding problem.
   2. Create functional code that runs without error.
   3. Use industry-standard best practices such as in-line comments to enhance readability and maintainability.

1. After you have finished creating the code for your notebook, save
   your work. Make sure that your notebook contains your name in the
   filename (such as, “Doe_Jane_ProjectTwoMilestone.ipynb”). This will help
   your instructor access and grade your work easily. Be sure to download a
   copy of your notebook (IPYNB file) for your submission.

   IMPORTANT:
   Submit the code that you have completed, even if you were not able to
   completely finish all of the elements. If you have questions, be sure to
   email your instructor. Be as specific as possible about the issue you
   are encountering.

Guidelines for Submission

Your submission should be your completed Jupyter Notebook (IPYNB)
file containing the code for your pirate intelligent agent. For this
assignment, it is especially important to submit the work that you have
completed, even if you were not able to complete the whole assignment.
This will allow you to get feedback from your instructor before you
submit the full Project Two, which is due in Module Seven.