| COMPSCI 270 | |||
| Fall 2004 | Artificial Intelligence | ||
[ Home | Schedule ]
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| Introduction | Text: Chapter 1 | |||
| Search | Text: Chapter 3 | |||
| Alternative Search Techniques | Text: Chapter 4, Hw1 due 9/9 | |||
| Intro Probability | Text: Chapter 13 | |||
| Decision theory | Text: Chapter 16 | |||
| Decision theory cont. | Text: Chapter 16 | |||
| MDPs | Text: Chapter 17, Hw2 due 9/24 | |||
| MDPs | Hansen and Zilberstein paper and optional longer version |
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| Reinforcement Learning | Text: Chapter 21 | |||
| Reinforcement Learning Cont. | ||||
| Games | Text: Chapter 6, Backgammon paper | |||
| Games Cont. | ||||
| CSPs | Text: Chapter 5, Hw3 due 10/8 | |||
| Advanced Probability | Text: Chapter 14,15 | |||
| Bayes Nets | Hw4 due 11/4 | |||
| Reasoning under Uncertainty | ||||
| Hidden Markov Models | ||||
| Particle Filters | ||||
| Learning | ||||
| Neural Nets | Hw5 due 11/18 | |||
| Logic | ||||
| First Order Logic | ||||
| Planning |