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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

Python Code for Value Iteration Code