Deep Learning Intermediate Emily Chen

Reinforcement Learning Basics

Train intelligent agents

4 (234 reviews)
540 students
6 weeks
18 lessons
Instructor
Reinforcement Learning Basics
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This course includes:
  • 18 on-demand video lessons
  • Downloadable resources & code
  • GPU-powered sandbox environment
  • Lifetime access & updates
  • Certificate of completion

What You'll Learn

Understand rewards
Build agents

About This Course

Learn how machines make decisions using reward-based learning. Tags: Reinforcement Learning

This course has been meticulously designed to balance theory with practice. Each module builds on the last, ensuring you have a rock-solid foundation before advancing. You'll complete real projects that you can add to your portfolio, and have access to our community of 540+ fellow learners.

Course Curriculum

01
RL Basics
6 lessons
Lesson 1: RL Basics — Part 1
Lesson 2: RL Basics — Part 2
Lesson 3: RL Basics — Part 3
+ 3 more lessons
02
Q Learning
6 lessons
Lesson 1: Q Learning — Part 1
Lesson 2: Q Learning — Part 2
Lesson 3: Q Learning — Part 3
+ 3 more lessons
03
Projects
6 lessons
Lesson 1: Projects — Part 1
Lesson 2: Projects — Part 2
Lesson 3: Projects — Part 3
+ 3 more lessons

Your Instructor

4 Rating 540 Students 3 Courses

A leading expert in Deep Learning with over a decade of research and industry experience. Their work has been published in top-tier AI journals and they bring real-world insights that you simply can't find in textbooks.

Technologies Covered

Reinforcement Learning

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