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An Introduction to Reinforcement Learning

Link back to the Syllabus

All readings are from the textbook. These readings are designed to be short, so that it should be easy to keep up with the readings.

This schedule is tentative, and is likely to change throughout the semester.

Week Date Topic Readings
1 September 4, 6 Introduction to Reinforcement Learning: Great blog post if you want additional readings about probability; jump to the section on Rigorous Foundations, unless you would like to learn about bandits (which is also fun!)
2 September 9, 11, 13    
3 September 16, 18, 20   Sept. 16 last day to drop courses without fees.
4 September 23, 25, 27    
5 September 30, October 2, 4 Oct. 3 last day to drop course (50% fees).  
6 October 7, 9, 11    
7 October 16, 18 October 14 holiday  
8 October 21, 23, 25    
9 October 28, 30, November 1    
10 November 4, 6, 8    
11 November 11 No classes: Reading week  
12 November 18, 20, 22    
13 November 27, 29, 31   November 29 last day to Withdraw.
14 December 2, 4, 6    
Final Thursday, December 19, 2017, 2:00 p.m. Final Exam You can bring a two page cheat-sheet.