Lec # | Topics | Lecture notes |
---|---|---|
1 | Principles of Autonomy and Decision Making - BW | (PDF) |
2 | A Very Brief Introduction to Java® - PR | (PDF) |
3 | Formulating Problem Solving as State Space Search - BW Optional Lecture: More Fun with Java® - PR | (PDF 1 - 1.2 MB) (PDF 2) |
4 | Problem Solving with Java® - PR | (PDF) |
5 | Asymptotic Analysis of Uninformed Search Methods - BW | (PDF - 1.0 MB) |
6 | Global Path-Planning via Optimal Search and Shortest Paths - BW | (PDF) |
7 | Roadmaps and Adversarial Games - BW | (PDF) |
8 | Solving Linear Programs using Simplex - PR | (PDF) |
9 | Kinodymanic Path-Planning using Linear Programs - PR | (PDF) |
10 | Formulating Visual Interpretation using Constraint Programming - BW | (PDF) |
11 | Solving Constraint Programs using Inference and Search - BW | (PDF) |
12 | Activity Planning and Plan Graphs - BW | (PDF) |
13 | Plan Extraction in Graph Plan - BW | (PDF) |
14 | Planning and Execution in a Changing World - BW | (PDF) |
15 | Modelling using Propositional Logic - BW | (PDF) |
16 | Propositional Satisfiability - BW | (PDF) |
17 | Entailment and Inference in Propositional Logic - BW | (PDF) |
18 | Model-Based Diagnosis and Conflict-directed Search - BW | (PDF) |
19 | Introduction to Probabilistic Reasoning - BW | (PDF) |
20 | Probabilistic State Estimation and Robot Localization - PR, BW | (PDF 1) (PDF 2) |
21 | Formulating Utility-based Agents using Markov Decision Processes - CL, BW | (PDF 1) (PDF 2) |
22 | 16.413 Student Project Presentations | |
23 | Learning from Observations through Inductive Methods - NR | (PDF) |
24 | Learning from Observations through Statistical Methods - NR | (PDF) |
25 | Making Decisions through Finite Domain Constraint Optimization | |
26 | Final Exam Review | (PDF 1) (PDF 2 - 2.5 MB) |