Update off-policy RFT documentation

[yanxi-chen]

Description

As the title says.

Checklist

Please check the following items before code is ready to be reviewed.

• Code has passed all tests
• Docstrings have been added/updated in Google Style
• Documentation has been updated
• Code is ready for review

[gemini-code-assist]

Summary of Changes

Hello @yanxi-chen, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on enhancing the clarity and accuracy of the documentation for the off-policy Reinforcement Learning from Text (RFT) module, particularly concerning the Online Policy Mirror Descent (OPMD) algorithm. The updates aim to provide a more precise explanation of OPMD's design, its learning behavior, and correct references to its foundational research, ensuring a better understanding for users exploring advanced RFT features.

Highlights

• Documentation Clarity: Updated the English documentation for off-policy RFT, specifically refining the description of the OPMD algorithm and its learning curves for improved clarity.
• Multilingual Synchronization: Synchronized the Chinese version of the off-policy RFT documentation with the latest English updates, ensuring consistency across languages.
• Academic Reference Update: Revised the academic paper reference for the OPMD algorithm from a general technical report appendix to a specific section in 'our paper', providing a more precise source.
• README Enhancement: Clarified the README for the OPMD GSM8K example by explicitly stating OPMD is an 'off-policy RL algorithm', adding immediate context for users.

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[gemini-code-assist]

Code Review

This pull request updates the documentation for off-policy RFT. The changes are well-done, improving clarity by simplifying the language, updating references to a more relevant research paper, and removing outdated information. The updates are consistently applied to both the English and Chinese versions of the documentation. I have a couple of minor suggestions to make the description of the learning curve plot even more precise in both documents. Overall, these are great improvements to the documentation.