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Update tutorial ci (#1344)

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Mark Towers
2025-03-31 16:25:33 +01:00
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docs/tutorials/README.rst
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Tutorials
=========
In this section, we cover some of the most well-known benchmarks of RL including the Frozen Lake, Black Jack, and Training using REINFORCE for Mujoco.
Additionally, we provide a guide on how to load custom quadruped robot environments, implementing custom wrappers, creating custom environments, handling time limits, and training A2C with Vector Envs and Domain Randomization.
We provide two sets of tutorials: basics and training.
Lastly, there is a guide on third-party integrations with Gymnasium.
* The aim of the basics tutorials is to showcase the fundamental API of Gymnasium to help users implement it
* The most common application of Gymnasium is for training RL agents, the training tutorials aim to show a range of example implementations for different environments
Additionally, we provide the third party tutorials as a link for external projects that utilise Gymnasium that could help users.