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[RLlib] Make the KL coefficient traced in appo tf #34293

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merged 3 commits into from
Apr 13, 2023

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@avnishn avnishn commented Apr 12, 2023

Signed-off-by: Avnish [email protected]

previously, if the appo learner update was traced with tf.function, then the kl coefficient wouldn't be automatically be update because python side affects aren't allowed inside of tf.function traced functions.

This pr makes the kl coefficient a tf variable and then updates it in the loop. It also adds a test to check if the kl coefficient changed after training.

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  • I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
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  • I've included any doc changes needed for https://docs.ray.io/en/master/.
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      method in Tune, I've added it in doc/source/tune/api/ under the
      corresponding .rst file.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
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    • This PR is not tested :(

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Looks good. Just one comment.

rllib/algorithms/appo/tests/tf/test_appo_learner.py Outdated Show resolved Hide resolved
@gjoliver gjoliver merged commit f1b14d2 into ray-project:master Apr 13, 2023
vitsai pushed a commit to vitsai/ray that referenced this pull request Apr 17, 2023
elliottower pushed a commit to elliottower/ray that referenced this pull request Apr 22, 2023
ProjectsByJackHe pushed a commit to ProjectsByJackHe/ray that referenced this pull request May 4, 2023
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3 participants