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Reinforcement Learning

Introduction to Reinforcement learning Markov Decision Processes (MDPs) Value Functions Bellman Equations Dynamic Programming Temporal Difference Learning Deep Reinforcement Learning Exploration-Exploitation Trade-off Reinforcement Learning in Robotics Summery

NOC Number:

Dr. Saranya Vasanthamani | Author Level 1

What You Will Learn

Course Learning Outcome (CLO):

Students who will complete this course can achieve the following course learning outcomes (CLOs):

  • CLO1: Understand the fundamentals of neural networks, including activation functions, loss functions, and optimization algorithms.

  • CLO2: Preprocess and prepare data for deep learning models, including techniques such as data augmentation, normalization, and handling missing data.

  • CLO3: Train and evaluate deep learning models for various tasks, such as image classification, object detection, speech recognition, and natural language processing.

  • CLO4: Understand the principles and architecture of popular deep learning models such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.

Keywords:

Reinforcement learning, game playing, robotics, recommendation systems.

Course Description:

Reinforcement Learning is a type of machine learning in which an agent learns to make decisions in an environment by interacting with it and receiving feedback in the form of rewards or penalties. The agent's goal is to maximize its cumulative reward over time by learning which actions to take in different situations. In Reinforcement Learning, the agent explores the environment and learns from its own experiences, without being explicitly told what actions to take. This makes Reinforcement Learning suitable for situations where the optimal actions are not known in advance or are difficult to specify. Reinforcement Learning has been successfully applied to a wide range of problems, such as game playing, robotics, and recommendation systems.

2 Natural and applied sciences and related occupations
21 Professional occupations in natural and applied sciences
212 Professional occupations in applied sciences (except engineering)
2122 Computer and information systems professionals

The importance of taking NOC courses:

This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.

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Meet Your Instructor
Dr. Saranya Vasanthamani
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Instructor
0.0 Rating
0 Students
Author Level 1
16 Courses
About Instructor

Prof. Saranya is the Instructor at NSRIC Inc. She is also the Associate Professor in Computer Science Engineering (ENG) at Anna University Colleges. In addition to her current affiliation with NSRIC, she holds freelance faculty positions in some other universities. Prof. Saranya is the founder of Algorithmics Computing Centre in India, She has mentored projects under the Smart India Hackathon for various ministries. She has published journals in reputed articles such as Springer, and many journals indexed by Elsevier. She has also published books in Amazon like Octave by examples, Points to Ponder for Python, and so on. She has also published book chapters about the updating of recent trends by IGI global publishing. In 12 years professional career, Dr, Saranya has Served on academic or administrative committees to deal with institutional policies along with preparing and delivering lectures to undergraduate and graduate students on topics such as programming languages, data structures, networking, software design, AI, Blockchain technologies and so on.

 

Prof. Saranya earned a B.Tech in Information Technology from Anna University, India in 2009, and an M.E in Software Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information and Communication Engineering in 2019 and an MBA(Information Systems) degree in 2014 by Bharathiyar University, India.

 

Section Name Lecture Name Lecture Date Lecture Time
(Toronto, Canada - EST Time)		 Lecture Time
(Local Time)
Section I (Current) Session 1 Fri-25-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-28-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-29-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-01-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-04-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-05-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-08-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-11-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-12-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-15-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Upcoming) Session 1 Fri-29-Nov-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-02-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-03-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-06-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-09-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-10-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-13-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-16-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-17-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-20-Dec-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-19-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-22-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-23-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-26-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-29-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-30-Jan-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-02-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-05-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-06-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-09-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-23-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-26-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-27-Feb-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-01-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-04-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-05-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-08-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-11-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-12-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-15-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-29-Mar-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-01-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-02-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-05-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-08-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-09-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-12-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-15-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-16-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-19-Apr-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-03-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-06-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-07-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-10-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-13-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-14-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-17-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-20-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-21-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-24-May-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-07-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-10-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-11-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-14-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-17-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-18-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-21-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-24-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-25-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-28-Jun-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-12-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-15-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-16-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-19-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-22-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-23-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-26-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-29-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-30-Jul-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-02-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-16-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-19-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-20-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-23-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-26-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-27-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-30-Aug-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-02-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-03-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-06-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Section I (Previous) Session 1 Fri-20-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 2 Mon-23-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 3 Tue-24-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 4 Fri-27-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 5 Mon-30-Sep-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 6 Tue-01-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 7 Fri-04-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 8 Mon-07-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 9 Tue-08-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
Session 10 Fri-11-Oct-24 09:00 AM to 10:00 AM 08:00 PM to 09:00 PM
video
  • Course Duration
    13 Hours 0 Minutes
  • Course Level
    Foundation
  • Discipline
    Information and Communication Technology (ICT)
  • Language
    English
This Course Includes
  • 1 Modules
  • 9 Lectures
  • Full Lifetime Access
  • Certificate of Completion