Doing better against simple targeters

My avg against C is like 85% or so. I have never extensively tuned against 2K6, so I didn't expected it to be good, but I always had bad results against GrubbmGrb VG in 2K7, so I suspected it would do bad.

At the same time it shows it is perfectly possible to get a reasonable movement even without doing well against those bots (you can certainly hit top 30 at least with that), but I would recommend not doing so. Now I'm trying hard to do better against those bots without losing all the points my movement earned me and the experience is justing frustrating.

AFAIK, you can crush LT/CT guns by moving closer that there’s only one wave in the air. Then some form of fire situation design will also give you some chance to generate Stop&Go movement and the alike, that works even against top guns.

Can you run your bot against those three when you have time? Just for the sake of my curiosity :P

That is probably because bots using "Fast Targeting" also use some non-learning movement.

But since simple guns are pretry predictable, you can always crush them by preloading gfs.

Yes, I do that, but I eventually start getting hit and then I stop falling back to my preloaded GFs. What I wonder is how those top 2K6 bots can still learn well.

well, don’t use one hit as some threshold, rather, do that smoother

Another trick I think is that to use very large bandwidth, since WscB & C will fire at near 1.0 when you have some speed, being as far as possible helps a lot.

Since ScalarBot is using something more like uniform shape function (and very low weighted 1 / (1 + sq(x)) to hint true surfing), and it's weighting secondary wave equally for same bullet power, without evaluating stationary danger, all making it visit as much gfs as possible, it's not strange it will perform very bad against simple guns (where being precise and strict hurts).

Maybe trying Normal Distribution would help. Sometimes I see Rechner just going between 2 possible bullet locations and get hit there.

I am using normal distribution in probability view. But this is not helping me against simple guns.

iirc something like 1 / (1 + abs(x)) works better.

What is a probability view?

meaning traditional wave surfing buffers

as my style is more like shrapnel surfing, which is called peak views.

I know bots starts using new predictors when enemy hit rate increases. It is just like a flattener but still does hit learning. Also I am amazed by Dookious and DrussGT dodging every type of targeting near perfect.

Just had the time to run that ;)

| ScalarBot 0.012l40.mc || Author || Type || 100.0 || 88.82 || 89.56 || 92.79 || 100.0 seasons

I haven't run it for a long time, and the last time I run it, it seems to score ~75 against WscB. Anyway, it's way better than I thought, but still way behind Dookious.

Wow, it seem that SimpleBot is performing way better —

| SimpleBot 0.024c.c.mc || Author || Type || 99.42 || 95.18 || 94.67 || 96.42 || 100.0 seasons

Where the biggest difference is the lack of precise intersection, and the use of 1 / (1 + abs(x)) as danger function.

Also, SimpleBot is examing stationary danger in both waves.