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[Feature] Add KL approximation in PPO loss metadata #2166

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merged 1 commit into from
May 29, 2024

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albertbou92
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Description

This PR adds KL approximation in PPO loss metadata, which provides an idea of the distance between the policy that collected the data and the current policy.

Motivation and Context

Why is this change required? What problem does it solve?
If it fixes an open issue, please link to the issue here.
You can use the syntax close #15213 if this solves the issue #15213

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  • New feature (non-breaking change which adds core functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation (update in the documentation)
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pytorch-bot bot commented May 21, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/2166

Note: Links to docs will display an error until the docs builds have been completed.

❌ 5 New Failures, 8 Unrelated Failures

As of commit 973d641 with merge base eaa3dd8 (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label May 21, 2024
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LGTM thanks!

@vmoens vmoens added the enhancement New feature or request label May 29, 2024
@vmoens vmoens merged commit 767a877 into pytorch:main May 29, 2024
45 of 58 checks passed
@vmoens vmoens deleted the ppo_kl_metric branch May 29, 2024 13:08
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3 participants