Time and Place: Thursday, 6-9pm, Shillman Hall 320

College of Computer and Information Science

Primary Instructor: Robert Platt

Date | Topic | Notes | Reading | Assignment out/due |
---|---|---|---|---|

9/5/2013 | Introduction, Intelligent Agents | Intro, Ch 3 | Ch 2 | |

9/12/2013 | Classical search, optimization | Ch 3, Ch 4, quiz 1 | Ch 3, Ch 4.1 -- 4.3 | HW 1 out If you're new to python, see: the Lynda tutorial |

9/19/2013 | Adversarial search, CSP | Ch 5, Ch 6 | Ch 6.1 -- 6.3 | |

9/26/2013 | CSP, Probability | Ch 6, Ch 14, quiz 3 | Ch 5.1 -- 5.4 | HW 1 due, HW 2 out (actually, it was out late 9/27/2013) |

10/3/2013 | Bayesian networks | On blackboard in class, quiz 4 | Ch 13 | |

10/10/2013 | Bayes networks | On blackboard in class, quiz 5 | Ch 14.1 -- 14.5 | HW 2 due |

10/17/2013 | HMMs | Ch 15.1 -- 15.3, Ethan Schreiber's one-page writeup on d-separation | HW 3 out | |

10/24/2013 | Midterm Exam, MDPs, reinforcement learning |
Here is a Java applet that illustrates q-learning in a very simple gridworld environment. This one illustrates value iteration. This one illustrates reinforcement learning applied to the inverted pendulum task. This one illustrates a robot learning to flip pancakes using reinforcement learning. This one is a video of q-learning (w/ dyna updates) in a grid world. | HW 4 out | |

10/31/2013 | MDPs, Reinforcement Learning | SB 3.1--3.3, 3.5--3.6, SB 4.1--4.4, SB 6.5 | HW 3 due | |

11/7/2013 | ML | Ch 18, Torralba's notes on Boosting | Ch 18.1--18.2, 18.6--18.9 | HW 4 due !!! HW4 due date postponed until 5pm 11/8 !!!, HW 5 out |

11/14/2013 | Statistical ML | Ch 20 | ||

11/21/2013 | HW 5 due | |||

11/28/2013 | THANKSGIVING | |||

12/5/2013 |

**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.