Spinning Up in Deep RL
An educational resource created by OpenAI to facilitate the learning of deep reinforcement learning (deep RL), a combination of reinforcement learning (RL) and deep learning. The module includes an introduction to RL terminology, research roles in RL, a curated list of important papers, well-documented code implementations of key algorithms, and exercises.
The motivation behind this resource is to enable individuals interested in AI safety and AI technology to understand and contribute effectively. Deep RL can be challenging to grasp due to the need for mathematical, coding, and deep learning knowledge. The lack of a standard textbook and the complexity of algorithm implementation make it challenging for newcomers. Spinning Up in Deep RL aims to bridge this gap and provide a valuable starting point for those looking to engage with deep RL.
OpenAI’s mission is to ensure the safe development of artificial general intelligence (AGI) and the widespread distribution of AI benefits. Spinning Up contributes to this mission by educating people about AI, empowering them to think critically about AI-related issues, and preparing individuals to work on AGI safety, a field with a shortage of expertise.
