How to proceed further? (Learning RL)

• baselines

  14 15,339 0.0 Python

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  

Ah sorry I understood your post. It has helped me to code quite a few of them from scratch but you can also check out https://github.com/openai/baselines or similar

• gdrl

  1 699 10.0 Jupyter Notebook

  Grokking Deep Reinforcement Learning

I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.

• WorkOS

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• stable-baselines3

  46 7,894 8.2 Python

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  

If you want to iterate quickly through different RL methods then it's a good idea to use one of the RL libraries like stable baselines 3. Then you can dig further into the methods that work best for you. Coding RL methods from scratch is very time consuming and error prone even for experienced programmers.

Suggest a related project