Spinning Up in Deep RL

OpenAI launched Spinning Up in Deep RL, a structured resource for newcomers to deep reinforcement learning.

The guide covers RL fundamentals, researcher advice, curated papers, exercises, and annotated code for key algorithms.

Implemented algorithms include VPG, TRPO, PPO, DDPG, TD3, and SAC.

The resource was designed for clarity and folded into the 2019 Scholars and Fellows curriculum.

It helps lower the barrier to RL research and related areas such as AI safety.