.. _examples:

Examples
************************

In the ``examples`` folder you can find several example training tasks. Check
the configs folder for the associated configs files. ``examples.randomwalks``
does offline reinforcement on a set of graph random walks to stitch shortest
paths to some destination. ``examples.simulacra`` optimizes prompts by using
prompts-ratings dataset (https://github.com/JD-P/simulacra-aesthetic-captions).
``examples.architext`` tries to optimize designs represented textually by
minimazing number of rooms (pretrained model is under a license on hf).
``examples.ilql_sentiments`` and ``examples.ppo_sentiments`` train to generate
movie reviews with a positive sentiment, in offline setting – by fitting to IMDB
dataset sentiment scores, and in online setting – by sampling finetuned on IMDB
model and rating samples with learned sentiment reward model, You can tweak
these scripts to your liking and tune hyperparameters to your problem if you
wish to use trlx for some custom task.