The following W&B Reports demonstrate examples of projects that explore hyperparameter optimization with W&B Sweeps.
- Description: We examine agents trained with different side effect penalties on three different tasks: pattern creation, pattern removal, and navigation.
- Description: How do we distinguish signal from pareidolia (imaginary patterns)? This article is showcases what is possible with W&B and aims to inspire further exploration.
The following how-to-guide demonstrates how to solve real-world problems with Weights & Biases: