As in previous labs, you will submit your updated code (either through your repository with instructions or by uploading files) for Lab 12 on Canvas. Your solutions should be contained within valueIterationAgents.py (for part 2) and analysis.py (for part 3).
For part 2, your value iteration agent will be graded on a new grid. We will check your values, Q-values, and policies after fixed numbers of iterations and at convergence (e.g. after 100 iterations). For part 3, we will check that the desired policy is returned in each case (a-e) described. See Canvas for a grading rubric.