Recent content by mollythelab

A practical understanding of Reinforcement Learning starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time...

One thing worth trying with Understanding Unreal Engine + AI: cost control and learning curve is a controlled comparison around unreal and engine. Use the same input for each test and note what changes in the output rather than judging from a single run. That should make it easier to tell...

When working with Runway, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is best workflow. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...