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Deep Reinforcement Learning

February 3 @ 8:00 am March 2 @ 5:00 pm

In this course, “Reinforcement Learning”, you will learn about various reinforcement learning (RL) algorithms, a branch of machine learning and AI. This course covers everything you need to know about RL, including an overview of the basic concepts of RL, value-based methods, policy-based methods, and actor-critic algorithms. You will also learn how to leverage these algorithms to address specific real-world problems.

In this course, you will engage in hands-on activities, homework, and instructor consulting to make learning RL enjoyable and rewarding. You will also be able to tackle real-world problems in discrete and continuous controls, and sequential decision-making. By the end of this course, you’ll have the skills and confidence to tackle any machine-learning challenge with RL.

This course is one of 6 courses in the Advanced AI Techniques pilot Micro-Credential pathway offered by the Translational AI Center at Iowa State University.

Complete any 3 courses listed below to earn the Advanced AI Techniques badge:

Prerequisites

  • Basic Python programming
  • Basic understanding of deep learning models
  • Basic understanding of control and sequential decision-making
  • Basic PyTorch programming

Intended Audience

The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The course is designed to provide a basic understanding of reinforcement learning and how to use these methods for a broad range of audiences.

Course Materials

Course materials are provided within the course. No additional purchase is required.

Expertise level:

Intermediate/Advanced

Registration

Students: 

Registration for TrAC microcredential courses would be as an independent study course with 1 credit per course. Any of the courses in the series are available for credit (each 1 credit and a maximum of 3 credits per semester) as an independent study (ME 590Z) under Dr. Aditya Balu. Students must register for the independent study by emailing benearl@iastate.edu and cc-ing baditya@iastate.edu. Also, fill this google form for our records: https://forms.gle/X615ftuW2cC9NQfj8

Industry Professionals/ISU Staff/Postdocs, etc.: 

Industry professionals, ISU Staff, and Postdocs can register to this course as non-credit microcredential badge only through ISU Online for an introductory promo price of $500.

Price: $500 Initial Promo Discounted price (ISU Professionals/Staff and government employees pay $300)