Version 1.0 is an anti-Cigaret optimised version, it scores over 90% against it in the TC. I didn't run a full TC2k6 yet, but my guess is it will score around 85%.
In Version 1.01 I changed the number of samples and added a very simple wavesurfer detection code (if hitrate < 12%). It is even better at hitting Cigaret, and scores better against wavesurfers (CC) too. 84.96% in the TC2K6.
v1.0 : http://robocode.aclsi.pt/abc.wiki.DCBot_1.0.jar v1.01: http://robocode.aclsi.pt/abc.wiki.DCBot_1.01.jar
-- ABC
By the way, is this released under RWPCL? Seems like a pretty major source code release, so I thought you might want to specify that. -- Voidious
No license needed, use it and abuse it. :) -- ABC
Thanks for sharing, maybe I will find some ideas to speed up my gun. -- Florent
I found one! I will use your sqr function instead of Math.pow, it seems to realy speed up my gun, thanks again. -- Florent
You should look closely at the code inside the log traversal loop, that code is being executed 30000+ times (in my case) per firing tick, after the log is full. The top N scans selection method is also important speedwise, I remember trying 2 or 3 different approaches before settling with one I use now. Another speed optimisation change I remember doing is the enemy path retrace, instead of tracing it step by step I use an iterative method. -- ABC
I looked at your enemy path retrace method,I am not using an iterative method like you but I am tracing it step by step. This way I can check if all the movement is inside the battle field, not only the end point, but I am not sure if this loss in speed is worth the performance (in terms of rating). -- Florent
Yep, that's a disadvantage of my current method. I don't know it's impact in terms of rating either, I was looking for ways to reduce testing times when I switched to it, but it must not be a big loss or I wouldn't have kept it. Maybe I'll do some tests... -- ABC
I'm trying to wrap my head around you iterative method for playing the enemy movement forward, it just doesn't seem to make sense to me. I understand the step-by-step (ie. standard pattern matcher) method, but your iterative one has me completely stumped. Could you elaborate? -- Skilgannon
It's like a binary search: 1.Check where the enemy will be when the bullet reaches it's current position 2.Check where it will be when the bullet reaches the position predicted in 1. Repeat a pre-set number of times or until the position change becomes minimal.
I've recently replaced this method in Shadow's gun with a step-by-step method, maybe I'll update DCBot one of these days. -- ABC
Ah...sudden click, and the entire paragraph I wrote no longer is necessary =). Lets see if I understand...you check where the enemy was 1 BFT forward last time from where they originated last time (this was the part I didn't get), and then you see what the new BFT is, and you repeat, until the last co-ordinate was close enough to the current coordinate. You then see what the total translation was in terms of x and y, and rotate that to whatever angle you're trying to work with, to rebuild the firing angle. I'm wondering if it wouldn't be possible to reconstruct a diagonal/rectangular battlefield to check whether any of the x/y values in between are out of bounds, so you can throw out this result. Very cool method, BTW, using the absolute coordinates of last time and then seeing what the changes were. It reminds me of the nano PM guns that use a running total of the lateral velocities, and just check the difference between two points in the array to see what the total lateral velocity over any sequence in time was. -- Skilgannon
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