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Welcome to the Home Page of
Mathukumalli Vidyasagar
Fellow of The Royal Society
Distinguished Professor &
SERB National Science Chair
Indian Institute of Technology Hyderabad
Email: M.Vidyasagar@iith.ac.in
Reinforcement Learning and Empirical Processes
27 August -- 03 December 2020
(Taught Remotely at the University of California at Berkeley)
Marking System (Tentative)
- Bi-weekly homework assignments: 50% of the marks.
- Project (presentation to class + slides): 20% of the marks.
- Take-Home Midterm (24 hours): 10% of the marks.
- Take-Home Final (48 Hours): 20% of the marks.
Course Material
Course Notes (Updated frequently; check date to ensure you have the latest version) Notes
Homework No. 1 Homework
Slides of Lectures
- Lecture 1 PDF
- Lecture 2 PDF
- Lecture 3 PDF
- Lecture 4 PDF
- Lecture 5 PDF
- Lecture 6 PDF
- Lecture 7 PDF
- Lecture 8 PDF
- Lecture 9 PDF
- Lecture 10 PDF
- Lecture 11 PDF
- Lecture 12 PDF
- Lecture 13 PDF
- Lecture 14 PDF
- Lecture 15 PDF
- Lecture 16 PDF
Python Code for Value Iteration
Code