A game where each cyclist is a mini neural network, and they try to figure out an optimal strategy.

I like this a lot.

Trying to understand: so there is a single layer between the inputs and the output? And the inputs are all computed…

Interesting that there is (I assume a running) average 100m gradient and a separate 1000m gradient. I suppose so brains can differentiate between brief climbs/descents and longer climbs/descents.

Wondering now about an input for "Less than 100m to finish" to allow for last second sprinting. Or "Rider approaching behind within 10m".

Wouldn't the race progress > 0.9 be a good enough input?

I'd love to know what I'm looking at. The description doesn't really help me understand how/why/what it means as the numbers are change.

The circles next to their names represent gold, silver, and bronze. The anaerobic battery starts at 15000J and can run down to zero, but is also goes up when, "power change" is negative? means they're making less aerobic effort so 'recovering'?

The first column of numbers is the input scaled to a real number between 0.0 and 1.0

Not sure what the color of the flags mean, if anything. Not sure what the middle column of 4 numbers are or how/why they change. Still not sure what "power change" actually is.