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)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021
  View Course
 Syllabus
 Enrollment : 18-Nov-2020 to 25-Jan-2021
 Exam registration : 15-Jan-2021 to 12-Mar-2021
 Exam Date : 24-Apr-2021

Enrolled

3077

Registered

74

Certificate Eligible

40

Certified Category Count

Gold

0

Silver

9

Elite

9

Successfully completed

22

Participation

5

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Note:
We have taken best assignment score from both Jan 2020 and Jan2021 course
Reinforcement Learning - Toppers list

RAVI GUPTA 88%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

DARSHANA S 83%

SASTRA DEEMED TO BE UNIVERSITY

SAI AAKASH R 83%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 3077

Registration Statistics

Total Registration : 74

Assignment Statistics



Assignment

Exam score

Final score

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.