Capstone Project: Evaluating Neural Network Architectures for RL Agent in PEARL#5
Open
MusaToTheMoon wants to merge 33 commits intoModern-Compilers-Lab:ablation_studyfrom
Open
Conversation
…onfigurable-pretraining Update config (pretrain, hyperparameters), Save training logs, Setup all embedding types
…_Explr into ablation_study
…_Explr into ablation_study
…_Explr into ablation_study
…figs to run wandb sweeps
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
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary: Merge finalized repo for PEARL pretraining with modular GNN architectures (GAT, GIN, GCN) and pooling options.
Key changes:
Results structure: results/ (.out/.err), sweep_results/ (W&B sweeps), saved_weights/, wandb/, mlruns/.
Usage: Run the appropriate pretrain_[MODEL_TYPE]_network.py; adjust W&B/MLflow in scripts as needed; use playground/ bash for sweeps.
Impact: No breaking changes; adds a clear workflow for adding new architectures and running hyperparameter sweeps.