In the videos, I often show hundreds of AI runs overlaid on top of each other. These ingame clips look nice and make the AI’s behaviour easy to visualize…
but they also take a while to produce. And since I’m often training the AI several times a week, with tens of thousands of runs in every session, those polished visuals aren’t very practical.
Instead, during training I regularly save some trajectories into simple files, containing things like the car’s position and rotation over time. Then, with a few small scripts, I can turn that into lightweight 2D graphs and quickly check what the AI did.
Here are a few examples I made with matplotlib (in Python) over the last days to examine a problem I’ve been stuck on recently. Good luck guessing what they represent :)
Yosh
2025-12-03 14:57:23 +0000 UTCQotSA Fan
2025-12-03 14:39:18 +0000 UTC