[NP-IRL-FAS] Introduction to Reinforcement Learning (Classroom & Asynchronous)

Offered by School of InfoComm Technology

Certifiable Courses

About Course
Course Structure
Financial Matters

About Course

Course Objectives

This course introduces reinforcement learning and the necessary tools to design and build a reinforcement learning model and test it using games

Course Description

The course covers the following:
•   The Reinforcement Learning problem
•   Markov decision process, Multi-armed bandits
•   Dynamic Programming

Course Structure

TPG course reference No.

TGS-2022013890

Introduction to Reinforcement Learning (Classroom & Asynchronous)
Introduction to Reinforcement Learning (Classroom & Asynchronous) (NP-IRL-FAS)
REINFORCEMENT LEARNING FUNDAMENTALS
Frame Reinforcement Learning (RL) problems
Understand how RL works
Evaluate and select the most appropriate RL technique to address a problem space
Explore and use basic RL algorithms to solve problems

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Introduction to Reinforcement Learning (Classroom & Asynchronous) Total course fee
Full Course fee $1,744.00 $1,744.00
Enhanced Training Support for SMEs for Singapore Citizen $203.20 $203.20
Enhanced Training Support for SMEs - SPR & LTVP+ $203.20 $203.20
SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above $203.20 $203.20
SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 $523.20 $523.20
SkillsFuture Baseline Funding for SPR/LTVP+ $523.20 $523.20

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The payment needs to be made upon the application is submitted.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.