Projects With Reinforcement Learning
In last weeks tutorial, we learned how reinforcement learning works and applied it to the cart pole problem on Gradient. This week we will look at the cart pole problem in more depth, and show how to use reinforcement learning for complex problem solving!
Getting Started With OpenAI Gym: Creating Custom Gym Environments
This post covers how to implement a custom environment in OpenAI Gym. As an example, we implement a custom environment that involves flying a Chopper (or a helicopter) while avoiding obstacles mid-air.
The Machine Learning Practitioner's Guide to Reinforcement Learning: Overview of the RL Universe
In this post, we describe the anatomy of how most Deep Reinforcement Learning algorithms work. We also cover the motivation to use RL over standard machine learning, On-Policy v/s Off-Policy learning, the Exploration-Exploitation Tradeoff, and many more important RL concepts.
Getting Started With OpenAI Gym: The Basic Building Blocks
In this article, we'll cover the basic building blocks of Open AI Gym. This includes environments, spaces, wrappers, and vectorized environments.