Introduction to Artificial Intelligence

Fall 2017

**Meets:** Mondays, Wednesdays, Fridays 10:10-11:00am in Clough Commons 152

**Instructor: **Prof. Mark Riedl (riedl@cc.gatech.edu)

Office hours: Tuesdays: 2:30-4:30pm, TSRB 228

Home | Schedule | Assignments | Grading | Piazza |

- Project 0: Introduction to Python (0% of grade)
**[No due date]** - Project 1: Search (15% of grade)
**[Due Sunday September 24, 2017, 11:55pm]** - Project 2: Markov Decision Problems (15% of grade)
**[Due Sunday October 22, 2017, 11:55pm]** - Project 3: Dynamic Bayesian Networks (15% of grade)
**[Due Sunday November 12, 2017, 11:55pm]** - Project 4: Neural network (15% of grade)
**[Due Sunday December 3, 2017, 11:55pm]**

**Codebases for each project can be downloaded from T-square.**

- Missionaries and cannibals (problem | solution)
- Search (problem | solution)
- Search 2 (problem | solution)
- Search 3 (problem | solution)
- Optimization search (problem | solution)
- Bayes net inference (problem | solution)
- Bayes net inference 2 (problem | solution)
- Markov decision process (problem | solution)
- MDP Vvalue iteration problem from class (problem | solution)
- Decision tree learning (problem | solution)
- Reinforcement learning (problem | solution