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|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](https://en.wikipedia.org/wiki/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](http://ufldl.stanford.edu/tutorial/).|
|This module contains a variety of helpful resources, including:|
|- a short [introduction](http://spinningup.openai.com/en/latest/spinningup/rl_intro.html) to RL terminology, kinds of algorithms, and basic theory,|
|- an [essay](http://spinningup.openai.com/en/latest/spinningup/spinningup.html) about how to grow into an RL research role,|
|- a [curated list](http://spinningup.openai.com/en/latest/spinningup/keypapers.html) of important papers organized by topic,|
|- a well-documented [code repo](https://github.com/openai/spinningup) of short, standalone implementations of key algorithms,|
|- and a few [exercises](http://spinningup.openai.com/en/latest/spinningup/exercises.html) to serve as warm-ups.|
|Get started at [spinningup.openai.com](http://spinningup.openai.com)!|