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

Media Object

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

BE/B.Tech

Patel Utkarsh Govind

BE/B.Tech

sujith venna

BE/B.Tech

 Course Duration : Jan-Apr 2020

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 Syllabus

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

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

 Exam Date : 25-Apr-2020

Enrolled

2802

Registered

Certificate Eligible

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Certified Category Count

Gold

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Elite

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Successfully completed

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Participation

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Success

Elite

Gold





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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.