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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 withdeep learning.

This module contains a variety of helpful resources, including:

• a shortintroduction to RL terminology, kinds of algorithms, and basic theory,
• anessay about how to grow into an RL research role,
• acurated list of important papers organized by topic,
• a well-documentedcode repo of short, standalone implementations of key algorithms,
• and a fewexercises to serve as warm-ups.

Get started atspinningup.openai.com!

If you reference or use Spinning Up in your research, please cite:

@article{SpinningUp2018,    author = {Achiam, Joshua},    title = {{Spinning Up in Deep Reinforcement Learning}},    year = {2018}}