Berkeley AI Materials

In this project, you will implement value iteration and Q-learning. You will test your agents first on Gridworld (from class), then apply them to a simulated robot controller (Crawler) and Pacman. As in previous projects, this project includes an autograder for you to grade your solutions on your machine. See the autograder tutorial in Project 0 for more information about using the autograder. Files to Edit and Submit: You will fill in portions of valueIterationAgents.py, qlearningAgents.py,