💡 [REQUEST] - Update to PPO Tutorial

[MatteoGaetzner]

🚀 Descirbe the improvement or the new tutorial

The Proximal Policy Optimization (PPO) tutorial serves as an educational resource, aiming to convey complex concepts and practical techniques in a clear, accessible manner. The improvements – better cross-referencing and correction of typographical errors – are significant for the following reasons:

1. Improved Readability: By changing class references from :class:SomeClassto:class:~path.to.SomeClass, we can streamline the text. This modification only displays the class name, rather than its full path, making the tutorial less cluttered and easier to comprehend.

2. Efficient Navigation: Despite simplifying the visible text, these references still link to the detailed documentation of the relevant classes. This allows users to delve deeper into specific topics if they choose, enhancing the tutorial's usefulness as a comprehensive learning tool.

3. Professionalism and Accuracy: Typos or grammatical errors can detract from the content's professionalism and even cause misunderstandings. By eliminating these errors, we ensure the information is accurate and presented in a polished, professional manner.

4. Enhanced Learning Experience: With streamlined text, intuitive navigation, and accurate information, users can more effectively understand and apply the principles and techniques covered in the PPO tutorial.

These modifications, therefore, are not merely cosmetic but crucial for maintaining the tutorial's quality, enhancing its utility as a learning resource, and facilitating a better user experience.

Existing tutorials on this topic

• https://pytorch.org/tutorials/intermediate/reinforcement_ppo

Additional context

No response

cc @vmoens @nairbv