Fast Deep Reinforcement Learning Course
I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
Fast Deep Reinforcement Learning Course launched on June 3, 2022 with 148 votes, #197 of 3,005 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
Fast Deep Reinforcement Learning Course is an educational series that teaches applied deep reinforcement learning through a practical, top-down approach. Students learn to use the RLlib framework to solve OpenAI Gym environments, building hands-on skills before diving into mathematical theory. Designed for developers interested in reinforcement learning, this course prioritizes working implementations over theoretical foundations, similar to learning deep learning through frameworks like Keras. It forms the first part of a planned multi-part series.
written from the facts on this page · September 2026
From the sources
Learn to build powerful Deep RL agents in just 4 hours
In Chapter 1, you will get introduced to Reinforcement Learning and understand its key concepts by analyzing a real-world problem and a case study from the industry. By the end of this chapter, you will be able to analyze any problem and decide if Reinforcement Learning could be a promising approach to solve it. In Chapter 2, you will learn the steps and tools involved in solving learning tasks using Reinforcement Learning. In Chapter 3, we will focus on Reinforcement Learning environments . Deep RL agents are usually trained in simulations and OpenAI Gym's simulation API is the industry standard in RL. You will get introduced to OpenAI Gym and its API. By the end of this chapter, you will…from courses.dibya.online
In the maker’s words, at launch
I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end…
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