| 1 |
Introduction to Principles of Autonomy and Decision Making
Jump Starting With Scheme |
Problem Set 1 OUT |
| 2 |
Some Scheme |
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| 3 |
Rule-based Systems |
Problem Set 2 OUT
Problem Set 3 OUT |
| 4 |
Problem Solving as State Space Search |
Problem Set 1 DUE |
| 5 |
Analysis of Uninformed Search Methods
Some More Scheme |
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| 6 |
Even More Scheme |
Problem Set 4 OUT
Problem Set 2 DUE
Problem Set 3 DUE |
| 7 |
Constraint Satisfaction Problems: Formulations
Solving Constraint Satisfaction Problems: Arc Consistency and Constraint Propagation |
Problem Set 5 OUT
Problem Set 4 DUE |
| 8 |
Solving Constraint Satisfaction Problems: Forward Checking
Propositional Logic and Satisfiability |
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| 9 |
Propositional Logic and Satisfiability (cont.) |
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| 10 |
Graph-based Planning |
Problem Set 6 OUT
Problem Set 5 DUE |
| 11 |
Partial Order Planning and Execution |
Problem Set 6 DUE |
| 12 |
Mid-term Exam |
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| 13 |
Programming SATPlan |
Problem Set 7 OUT |
| 14 |
Roadmap Path Planning
Shortest Path and Informed Search |
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| 15 |
Shortest Path and Informed Search (cont.) |
Problem Set 8 OUT
Problem Set 7 DUE |
| 16 |
Model-based Diagnosis |
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| 17 |
Model-based Diagnosis (new slides) |
Problem Set 9 OUT
Problem Set 8 DUE |
| 18 |
Introduction to Linear Programming |
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| 19 |
Spacecraft Rendezvous and Rover Path Planning Using Linear Programs |
Problem Set 10 OUT
Problem Set 9 DUE |
| 20 |
Basis Theory |
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| 21 |
Integer Programming and Branch and Bound |
Problem Set 11 OUT
Problem Set 10 DUE
16.413: Scenario Round I |
| 22 |
16.413 Project Group Meetings |
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| 23 |
Particle Filters for Fun and Profit |
Problem Set 11 DUE
16.413: Scenario Round II |
| 24 |
Student Presentations |
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| 25 |
Learning to Act Optimally: Reinforcement Learning
Planning to Maximize Reward: Markov Decision Processes |
16.413 Reports DUE |
| 26 |
Principles of Autonomy and Decision Making |
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| 27 |
Final Exam |
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