Time and Place: Tuesday 11:45am - 1:25pm, Thursday 2:50pm - 4:30pm, International Village 022
College of Computer and Information Science
Instructor: Robert Platt
Date | Topic | Notes | Reading | Assignment out/due |
---|---|---|---|---|
1/9/2018 | Introduction, Intelligent Agents | Course Overview, AI Agents, In addition to the Python/autograder tutorial linked to the right, feel free to have a look at the official Python Tutorial. | AIMA Ch 2 | Python/autograder Tutorial (optional, but recommended). This introduces you to Python and the autograder. |
1/11/2018 | Uninformed search | Classical search | AIMA Ch 3, Ch 4.1 -- 4.3 | |
1/16/2018 | Informed search | Heuristic search | AIMA Ch 3, Ch 4.1 -- 4.3 | |
1/18/2018 | Adversarial search | Adversarial search | AIMA Ch 5.1 -- 5.4, Ch 6 | PA 1 out |
1/23/2018 | Constraint Satisfaction | Constraint Satisfaction | AIMA Ch 6 | |
1/25/2018 | Constraint Satisfaction | Constraint Satisfaction | AIMA Ch 6 | |
1/26/2018 | PA 1 due | |||
1/30/2018 | Constraint Satisfaction, Probability | Constraint Satisfaction, Probability | PA 2 out | |
2/1/2018 | Probability, Markov decision processes | Probability, Markov Decision Processes | Ch 3 | |
2/6/2018 | Markov decision processes | Markov Decision Processes, Reinforcement Learning | Ch 4, 6 | |
2/8/2018 | !MIDTERM EXAM 1! | |||
2/9/2018 | PA 2 due | |||
2/13/2018 | Markov decision processes | Markov Decision Processes | Ch 4, 6 | |
2/15/2018 | Reinforcement Learning | Reinforcement Learning | Ch 4, 6 | |
2/20/2018 | Reinforcement Learning | Reinforcement Learning | Ch 4, 6 | |
2/22/2018 | Reinforcement Learning | Reinforcement Learning | Ch 4, 6 | PA 3 out |
3/1/2018 | Neural Networks / Deep Learning | Neural Networks | AIMA, Ch 18.7 | PA 3 due |
3/6/2018 | SPRING BREAK! | |||
3/8/2018 | SPRING BREAK! | |||
3/13/2018 | Neural Networks / Deep Learning | Neural Networks | AIMA, Ch 18.7 | |
3/15/2018 | SNOW DAY! | |||
3/20/2018 | Neural Networks / Deep Learning | Neural Networks | AIMA, Ch 18.7 | |
3/22/2018 | Neural Networks / Deep Learning (Marcus guest lecture) | Neural Networks | ||
3/23/2018 | PA 4 out, zip | |||
3/27/2018 | Bayes Networks | Bayes Networks | AIMA, Ch 14 | |
3/29/2018 | Bayes Networks | Bayes Networks | AIMA, Ch 14 | |
4/3/2018 | Bayes Networks, Naive Bayes | Bayes Networks, Naive Bayes | AIMA, Ch 14 | |
4/5/2018 | !!!MIDTERM 2!!! | |||
4/9/2018 | PA 4 due, zip | |||
4/10/2017 | Hidden Markov Models | Hidden Markov Models | AIMA Ch 15 | |
4/12/2017 | Hidden Markov Models | Hidden Markov Models | AIMA Ch 15 | |
4/16/2017 | ! LAST PROBLEM SET DUE ! | |||
4/17/2017 | Hidden Markov Models, Class Recap | ! LAST DAY OF CLASS ! | ||
4/20/2017 | Project due! | |||
Deep Reinforcement Learning (slides only) | Deep Reinforcement Learning |
Important note: unless noted otherwise, all readings and assignments are due on the day that they appear in the schedule.
Unless noted otherwise, all readings are from Artificial Intelligence: A Modern Approach, 3rd Ed., Russell and Norvig.