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 berkeley ai material


Berkeley AI Materials

#artificialintelligence

Thank you for your interest in our materials developed for UC Berkeley's introductory artificial intelligence course, CS 188.


Berkeley AI Materials

#artificialintelligence

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,