OpenAI releases learning site for Reinforcement Learning: Spinning Up in Deep RL!

Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).

For the unfamiliar: reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning.

This module contains a variety of helpful resources, including:

  • a short introduction to RL terminology, kinds of algorithms, and basic theory,
  • an essay about how to grow into an RL research role,
  • a curated list of important papers organized by topic,
  • a well-documented code repo of short, standalone implementations of key algorithms,
  • and a few exercises to serve as warm-ups.

Why We Built This

One of the single most common questions that we hear is

If I want to contribute to AI safety, how do I get started?

Source: Welcome to Spinning Up in Deep RL! — Spinning Up documentation