Assignments

CSE 415: Introduction to Artificial Intelligence The University of Washington, Seattle, Winter 2025

Assignment 1: Python Warmup. (lead staff member: Krish; co-lead: Sahil)   Assignment 2: Problem Formulation and Solving Techniques. You may work solo on this or in a partnership of two. (lead staff member: Emilia; co-lead: Xinming)   Assignment 3: Written exercises on search (Individual work). Note: No grace days available on A3, due to the tight schedule before the midterm. (Also the latest turn-in time for partial credit is 48 hours past the deadline.) For those who wish to submit Latex-formatted solutions, a Latex template file and the needed image files are available here: a Zip archive.   Assignment 4: Adversarial Search in the game of "K in a Row with Forbidden Squares." You may do this assignment either individually or in a team of 2 (preferred). (lead staff member: Krish, co-lead: Xinming)   Assignment 5: Reinforcement Learning: Value Iteration and Q-Learning. Partnership is optional. (lead staff member: Sahil; co-lead: Emilia)   Assignment 6: Written exercises on: Markov Models, D-Separation, Markov Decision Processes, Reinforcement Learning, Perceptrons, and Social/Ethical Issues in Artificial Intelligence. This is an individual-work assignment.