CS188x will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm. By the end of this course, you will have built autonomous agents that efficiently make decisions in stochastic and adversarial settings, draw inferences in uncertain environments, and optimize actions for arbitrary reward structures.
This repository contains my solutions for the projects for the CS188.1x Artificial Intelligence course on edX.
Question q1: 2/2
Question q2: 2/2
Question q3: 2/2
Question q4: 3/3
Question q5: 2/2
Question q6: 3/3
Question q7: 5/4
Question q8: 2/2
Question extra: 0/0
-------------------
Total: 21/20
Question q1: 3/3
Question q2: 4/4
Question q3: 4/4
Question q4: 4/4
Question q5: 5/5
Question extra: 0/0
-------------------
Total: 20/20
Project 3: Reinforcement Learning
Question q1: 0/6
Question q2: 0/1
Question q3: 0/5
Question q4: 0/5
Question q5: 0/3
Question q6: 0/1
Question q7: 0/1
Question q8: 0/3
----------------
Total: 0/25
Here you can find the certificate of completion of this course. The final grade was: 96%.