stable-baselines VS open-ai

As underlined by gold-panda, you can give a try with multiprocessing. I once implemented a version based on what is done in stable_baselines v1 (https://github.com/hill-a/stable-baselines/blob/master/stable_baselines/common/vec_env/subproc_vec_env.py)

Found relevant code at https://github.com/hill-a/stable-baselines + all code implementations here

Depends what you wanna do. Universal answer would be https://stable-baselines.readthedocs.io/

As you will see here it is recommended to augment this safety measure with target kl_divergence, that will ensure even smoother learning and enforce early stopping to prevent learning collapses.

Code for https://arxiv.org/abs/1707.06347 found: https://github.com/hill-a/stable-baselines

I haven't read the code, but stable-baselines doesn't support multi-agent environments (https://github.com/hill-a/stable-baselines/issues/423), so I think they're trying to make learning multi-agent easier with Environment.train().

- https://github.com/hill-a/stable-baselines (Tensorflow)

- tf2 speed: https://github.com/hill-a/stable-baselines/issues/576#issuecomment-573331715

Php library

https://github.com/orhanerday/open-ai#chat-as-known-as-chatg...

Hi everyone,

I released an open source PHP package that leverages the power of OpenAI's language model to enhance natural language processing in PHP projects. The package has already gained some traction with over 60k downloads on GitHub, but I'm hoping to increase its exposure and reach a wider audience.

I'm wondering if anyone has successfully promoted an open source package on Hacker News before and has any tips to share. What worked for you? What didn't work? How did you craft your title and messaging to catch the attention of the Hacker News community?

If you're interested in checking out the package, it's available on GitHub here: https://github.com/orhanerday/open-ai

Any feedback or advice would be greatly appreciated! Thanks in advance for your help.