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Rough Outline of Topics
- Overview, agents, problem spaces
- Search
- Constraint satisfaction
- Knowledge representation
- Planning
- Uncertainty & Bayesian networks
- Machine Learning
- Dynamic Bayesian networks & particle filters
- Robotics
Midterm: Monday, November 3, in class
Schedule of Lectures and Readings
Partial schedule for the upcoming weeks. We will update it frequently
as more details become available.
| Date |
Topic |
Readings |
Slides |
Comments |
| Wed, Sept 24 |
Introduction |
none |
[PPT],
[PDF]
|
|
| Fri, Sept 26 |
Agents and Environments |
AIMA Ch.2
AIMA Ch.1 (optional) |
[PPT],
[PDF]
|
|
| Mon, Sept 29 |
Search |
AIMA Ch.3 |
[PPT],
[PDF]
|
|
| Wed, Oct 1 |
Informed Search |
AIMA Ch.4.1 |
[PPT],
[PDF]
|
|
| Fri, Oct 3 |
Heuristics / Local Search |
AIMA Ch.4.2, 4.3 |
[PPT],
[PDF]
|
RRT search |
| Mon, Oct 6 |
Constraint Satisfaction |
AIMA Ch.5.1, 5.2 |
[PPT],
[PDF]
|
|
| Wed, Oct 8 |
Adversarial Search |
AIMA Ch.6 |
[PPT],
[PDF]
|
Checkers,
Poker |
| Fri, Oct 10 |
KR I: Propositional Logic |
AIMA Ch.7.1-7.4 |
[PPT],
[PDF]
|
|
| Mon, Oct 13 |
KR II: Inference in Propositional Logic |
AIMA Ch.7.5, 7.6 |
[PPT],
[PDF]
|
|
| Wed, Oct 15 |
KR III: First-Order Logic |
AIMA Ch.8 |
[PPT],
[PDF]
|
|
| Fri, Oct 17 |
KR III: Inference in First-Order Logic |
AIMA Ch.9 |
[PPT],
[PDF]
|
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| Mon, Oct 20 |
Planning (SitCalc, StateSearch) |
AIMA Ch. 10.3 and 11.1 - 11.2 |
[PPT],
[PDF]
|
|
| Wed, Oct 22 |
Planning (POP) |
AIMA Ch. 11.3 |
|
|
| Fri, Oct 24 |
Planning (Graphplan, SATplan) |
AIMA CH. 11.4 -- 11.7 |
|
|
| Mon, Oct 27 |
Intro to Uncertainty |
AIMA CH. 13.1 -- 13.3 |
[PPT],
[PDF]
|
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| Wed, Oct 29 |
Intro to Uncertainty |
AIMA CH. 13.1 -- 13.3 |
|
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| Fri, Oct 31 |
Midterm review |
|
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| Mon, Nov 3 |
Midterm |
|
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| Wed, Nov 5 |
Bayesian networks |
AIMA Ch. 14.1-14.4 |
[PPT],
[PDF]
|
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| Fri, Nov 7 |
Robot Localization |
AIMA Ch. 15.1, 15.2, 15.5, 25.3 |
[PPT],
[PDF]
|
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| Mon, Nov 10 |
Particle Filters |
AIMA Ch. 15.1, 15.2, 15.5, 25.3 |
|
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| Wed, Nov 12 |
Particle Filters |
AIMA Ch. 25.3 |
|
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| Fri, Nov 14 |
Robot map building |
AIMA Ch. 25.3 |
[PPT],
[PDF]
|
|
| Mon, Nov 17 |
Markov decision processes |
AIMA Ch. 17.1-2 |
[PPT],
[PDF]
|
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| Wed, Nov 19 |
MDPs |
AIMA Ch. 17.1-2 |
|
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| Fri, Nov 21 |
Inductive learning |
AIMA Ch. 18.1-3 |
[PPT],
[PDF]
|
Gaussian processes
for WiFi-based
people
and blimp tracking
|
| Mon, Nov 24 |
Decision trees |
AIMA Ch. 18.3 |
|
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| Wed, Nov 26 |
Ensemble learning / Adaboost |
AIMA Ch. 18.4 |
[PPT],
[PDF]
|
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| Mon, Dec 1 |
Expectation maximization |
AIMA Ch. 20.1-3 |
[PPT],
[PDF]
|
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| Wed, Dec 3 |
Reinforcement learning |
AIMA Ch. 21.1-3 |
[PPT],
[PDF]
|
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| Fri, Dec 5 |
Summary |
|
[PPT],
[PDF]
|
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