Conversation
Contributor
Author
|
Result on 
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Oat has a dedicated support for multi-turn PPO for general agentic RL use cases (sail-sg/oat#63). We now attempt to follow these new APIs for future developments.
Note that turn-level critic learning is natively supported by Oat's new PR, so we can enable this simply by
--critic_type ppo. Also note that the original "Return Batch Normalization" is now replaced by "Advantage Whitening" on Oat's side to make it more general, e.g., PPO's GAE can also go through such normalization.