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For historical reasons, TorchRL privately hosts a bunch of tutorials.
We'd like to bring the most significant ones to pytorch tutorials for more visibility.
Here is the tutorial.
TorchRL splits down what is commonly referred to as Agents in other frameworks into various pieces that echo what can be found in other domains: data collection, datasets, transforms and losses. A dedicated class named LossModule covers this last functionality. We have a tutorial that instructs users on how to build and use such classes, you can help us port it to pytorch tutorials!
Steps:
Port the tutorial from the RL repo to the tutorials repo.
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🚀 Descirbe the improvement or the new tutorial
For historical reasons, TorchRL privately hosts a bunch of tutorials.
We'd like to bring the most significant ones to pytorch tutorials for more visibility.
Here is the tutorial.
TorchRL splits down what is commonly referred to as Agents in other frameworks into various pieces that echo what can be found in other domains: data collection, datasets, transforms and losses. A dedicated class named LossModule covers this last functionality. We have a tutorial that instructs users on how to build and use such classes, you can help us port it to pytorch tutorials!
Steps:
Existing tutorials on this topic
No response
Additional context
The tutorial should not require extra dependencies beyond those already present in requirements.txt
cc @nairbv
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