Reading Material
This page contains the reading material for the class. Students should do this before the date designated below!
| Read by | Material |
|---|---|
| 16/1 | Chapter 9, Sutton & Barto textbook |
| 9/1 | Watch lecture 9 from the Berkeley RL class on YouTube |
| 18/12 (NB: Friday!) | Watch lectures 7 and 8 from the Berkeley RL class on YouTube. Read Chapters 9, 10, 11, Sutton & Barto textbook |
| 12/12 | Watch lectures 6 and 7 from the Berkeley RL class on YouTube. Read rest of Chapter 13 and Chapter 9, Sutton & Barto textbook |
| 05/12 | Watch lectures 4 and 5 from the Berkeley RL class on YouTube. Read Chapter 13.1-13.4 (including), Sutton & Barto textbook |
| 28/11 | Sections 5, 6, 7, 9, and 10 from P. Mehta et al. review paper. Watch lectures 1 and 2 from the Berkeley RL class on YouTube |
| 21/11 | Section 4 from P. Mehta et al. review paper |
| 14/11 | Chapter 6, Sutton & Barto textbook |
| 7/11 | Chapter 5, Sutton & Barto textbook |
| 31/10 | Chapter 4, Sutton & Barto textbook |
| 24/10 | Chapter 3, Sutton & Barto textbook |
| 17/10 | Chapters 1 and 2, Sutton & Barto textbook |
Deep Learning Refresher
Students who would like to refresh their knowledge of Deep Learning, should read before Week 6 of the semester:
- M. Nielsen, Neural Networks and Deep Learning, online book
- Secs. 4, 6, 7, 9, 10 from P. Mehta, et al., A High-Bias, Low-Variance Introduction to Machine Learning for Physicists
Intro to Python
- check out Coursera: all Sofia University students should have free access to Coursera online courses!
- check out the free Udacity Introduction to Python Programming online class
- check out the advanced python class by Peter Norvig on Udacity (really good!)