Tune hyperparameters for kernel density estimation tutorial #774
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Outdated suggestions cannot be applied.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.
Description
This PR tunes parameters for the tutorial
7_train_density
. The new version (when flagFAST = False
) reaches better results in significantly lower number of PPO iterations:(results are mean +/- std from 10 random seeds)
To arrive at the hyperparameters, I performed a grid search, checking the following values:
Testing
Verified performance of the hyperparameters in a separate experiment, as well as ran the notebook itself.