Anti-Surfer Targeting

I have been tuning WhiteFang's gun lately and while I could get a lot of success in TCRM with genetic algorithms my AS targeting isn't improving a bit.

Thinking logically finding weights with genetic algorithm shouldn't be as effective against learning movement as they change how they move but I had though it would do better than some randomly assigned weights.

Currently the best score I have got is 69.36 with the current AS targeting which is just the main gun with 10 times the decay and lower K.

Any advice about how to tune it?

I found recorded data, like WaveSim, still quite useful when it comes to hit adaptive movement.

The reason maybe anti-intuitive, but as long as their movement & your gun can be considered random, it’s still logical.

And although intuitively wave surfing is not random, in fact, they are. The reason is simple, non-linearity & self feedback.

They are only not random with specific information, but certainly you can’t have them for everyone.

And about genetic tuning, I think they are useful, but only after you get basic stuff right, e.g. precise intersection, using only firing waves etc.

I have a simple precise prediction but I see these kind of things more of a guaranteed improvement rather than a necessity for tuning.

What do you mean by using only firing waves?=)

I might have to move to -1 to 1 GF system rather than the current system with 51 bins.

The problem I had was after tuning against 3 Raiko micro matches I had a 0.9% improvement in TCRM but after 3 matches against 9 different surfers I had a 5% score loss.

Any attributes that help a lot against surfers?

Imo the attributes and weights for random movement and surfers may be completely different, so I just tune them completely separately.

And there are not one single magic attribute that helps a lot against random movement, so do surfers.

And you don’t expect good performance when you use virtual waves for surfers as well, since they are irrelevant.