Course Name: Reinforcement Learning

Course abstract

Reinforcement learning is a paradigm that aims to model the trial-and-error learning process that is needed in many problem situations where explicit instructive signals are not available. It has roots in operations research, behavioral psychology and AI. The goal of the course is to introduce the basic mathematical foundations of reinforcement learning, as well as highlight some of the recent directions of research.

Course Instructor

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Prof. Balaraman Ravindran

Prof. Balaraman Ravindran is currently a Professor in Computer Science at IIT Madras. He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.
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Teaching Assistant(s)

Yogesh Tripathi


Patel Utkarsh Govind


sujith venna


 Course Duration : Jan-Apr 2020

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 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 25-Apr-2020




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Final Score Calculation Logic

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Enrollment Statistics

Total Enrollment: 2802

Registration Statistics

Total Registration : 229

Assignment Statistics

Assignment Score

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Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.