Doing better against simple targeters

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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.

Xor (talk)11:41, 6 October 2017

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

Rsalesc (talk)11:43, 6 October 2017

ScalarBot is doing very bad against wsc LT/CT, but my score against those bots in real world seems to be even higher than some top bots. Seems that my gun is destroying them before they even had a chance to shot. ;)

I tried some dedicated buffer for the simple targeters, but it just don’t work (not giving me more score).

I think that’s because I’m too far away, visiting every fire situation, and making simple guns fire at every possible gf.

Xor (talk)11:51, 6 October 2017
That is probably because bots using "Fast Targeting" also use some non-learning movement.
Dsekercioglu (talk)12:29, 6 October 2017
 

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

Xor (talk)11:52, 6 October 2017

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.

Rsalesc (talk)11:55, 6 October 2017

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

Xor (talk)12:11, 6 October 2017
 

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Return to Thread:Talk:Movement/Doing better against simple targeters/reply (9).

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

Dsekercioglu (talk)14:35, 6 October 2017

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.

Xor (talk)16:23, 6 October 2017

What is a probability view?

Dsekercioglu (talk)18:54, 6 October 2017

meaning traditional wave surfing buffers

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

Xor (talk)20:23, 6 October 2017
 
 
 
 

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.

Dsekercioglu (talk)14:38, 6 October 2017
 
 

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.

Xor (talk)02:51, 7 October 2017

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.

Xor (talk)03:13, 7 October 2017