Feature: Add Bayesian hyperparameter optimization#75
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ADGEfficiency wants to merge 3 commits intomainfrom
Open
Feature: Add Bayesian hyperparameter optimization#75ADGEfficiency wants to merge 3 commits intomainfrom
ADGEfficiency wants to merge 3 commits intomainfrom
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This adds a script for Bayesian hyperparameter optimization using Optuna to find optimal model parameters for the battery environment. The implementation includes: - Automated search through hyperparameter space - Visualization of optimization results - Training a final model with the best parameters found 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Description
This PR adds Bayesian hyperparameter optimization for the energy-py library using Optuna.
Background
Hyperparameter optimization is a crucial step in machine learning model development. This implementation uses Optuna, a state-of-the-art hyperparameter optimization framework, to systematically search the hyperparameter space and find optimal configurations for the battery environment RL agent.
Changes