Reinforcement Learning - Paperspace Blog

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.

Reinforcement Learning

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.

Reinforcement Learning

The Machine Learning Practitioner's Guide to Reinforcement Learning: All About Markov Decision Processes

Deep Reinforcement Learning is one of the most quickly progressing sub-disciplines of Deep Learning right now. In less than a decade, researchers have used Deep RL to train agents that

Reinforcement Learning

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.

Reinforcement Learning

A Thorough Introduction to Reinforcement Learning

Access to humongous amounts of data and the availability of enormous computational power have led us to explore various techniques to draw out useful patterns and lead better lives. Churning

Reinforcement Learning

Play Super Mario Bros with a Double Deep Q-Network

As cool as neural networks are, the first time that I felt like I was building true AI was not when working on image classification or regression problems, but when

Tutorial

Physics control tasks with Deep Reinforcement Learning

Learn how to implement the paper Continuous Control with Deep Reinforcement Learning, in PyTorch using OpenAI gym.

Tutorial

Build an AI to play Dino Run

A tutorial to build a Reinforcement Learning model.