Meeting Schedule
 Homework, including reading assignments, will be listed the day of assignment. See the assignments page for more specific details on due dates, rules, and submission instructions.
 Slack means space to catch up in case we fall behind. See this reference if you're confused about why this usage makes sense.
Date  Topic  Homework  Slides 
08/27/24  Introduction 
Required:
Optional reading: Russell and Norvig, AIMA, Chapters 12 
intro honesty 
08/29/24  Goals of AI  Required reading Optional reading:  GoalsOfAI 
09/03/24  Probabilities  Required reading: TBD  probability 
09/05/24  Slack 
Required reading: Bayesian
Networks Without Tears A simple approach to Bayesian network computations 
probability2 
09/10/24  Bayesian Networks 
HW1 assigned, due 9/19 Optional reading:

bnets 
09/12/24  Bayesian Networks II  Rabiner HMM Tutorial  
09/17/24  Finish BNs, start HMMs  HMMs  
09/19/24  HMMs  
09/24/24  Finish HMMs, Start Particle Filters  HW2 assigned, due 10/03 Required Reading: Particle Filters in Robotics 
sampling ParticleFilters 
09/26/24  Finish Particle Filters, Start ML?  MLIntro  
10/1/22  Introduction to Machine Learning, Start Regression  Required Reading:

Regression 
10/03/24  Finish Regression  Required Reading: Chapter 3.4 of Hastie and Tibshirani 

10/08/24  Choosing Predictions  Required Reading: Chapter 4 of Hastie and Tibshirani  ChoosingPredictions 
10/10/24  Linear Classifiers  Read Chapter 6 of Deep Learning by Goodfellow, Bengio, and Courville. Skim chapter 7  Classifiers 
10/14/24  Fall Break  
10/17/24  Semi and Unsupervised Learning  clustering  
10/22/22  Midterm  
10/17/24  Slack, Start Neural Networks  HW3a assigned, due 11/5  NeuralNetworks 
10/29/24  Neural Networks  Read Chapter 8 and Chapter 9 of Deep Learning by Goodfellow, Bengio, and Courville  
10/31/24  Deep Networks  Read Attention Is All You Need  DeepLearning 
11/5/24  Transformers  Simple Decisions Chapter from Algorithms for Decision Making  Attention 
11/7/24  Decision Theory  Required Reading: Chapters 2 and 3 of Sutton and Barto  decisions 
11/9/24  MDPs  Required Reading: Chapters 5 and 6 of Sutton and Barto  
11/12/24  MDPs II  
11/14/22  Reinforcement Learning  Read: Humanlevel control through deep reinforcement learning  
11/19/24  Deep RL 
Reading

DeepRL David Silver's Deep RL slides 
11/21/24  Linear Programming and Zero Sum Games  Game Theory Intro, Part III, sections 1 and 2  
11/26/24  General Sum Games  
12/15/24  Final Exam 2:00 PM to 5:00PM 
Final Exam Schedule
We will not administer the exam early to accomodate travel schedules 
