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
Prof.Balaraman Ravindran
Prof. Balaraman Ravindran is currently an associate 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.
Teaching Assistant(s)
Course Duration : Jan-Apr 2018
View Course
Syllabus
Enrollment : 20-Nov-2017 to 22-Jan-2018
Exam registration : 08-Jan-2018 to 07-Mar-2018
Exam Date : 28-Apr-2018, 29-Apr-2018
Enrolled
1727
Registered
57
Certificate Eligible
32
Certified Category Count
Gold
0
Elite
15
Successfully completed
17
Participation
4
Success
.jpg)
Category : Successfully Completed
Elite
.jpg)
Category : Elite
Gold
.jpg)
Category : Gold
Legend
>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate
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
Enrollment Statistics
Total Enrollment: 1727
Registration Statistics
Total Registration : 57
Assignment Statistics
Exam score
Final score