Talk:DrussGT
Just going through the algorithm, and I realised that there's a bug in my precise prediction: I'm using the bullet-hit-time of the 'target' point, not the point that I actually reach. This is left over from the days when the only thing my precise prediction checked was whether I could reach the target point. Now, for regular, constant distance surfing this is fine. But the moment I start changing distance my predictions can get a couple ticks off... Basically the less lateral velocity component I have, the more inaccurate my prediction gets. Which is bad against, say, RamBots, and in corner situations. I may have to rethink this algorithm... I've already tested doing an iterative search but it gets way too slow, way too quickly. --Skilgannon 10:47, 27 January 2009 (UTC)
Hi, I just want to know. You had once tell me that DrussGT doesn't call Math.random() in real battle, but it does in development process. Is the random call in development process use to generated all those 100 buffers' slices? Thanks » Nat | Talk » 06:02, 21 February 2009 (UTC)
Again, I'll rework DrussGT and see how it will act if it had 73,728 buffers. (The maximum buffer without duplicated buffer :)) » Nat | Talk » 06:05, 21 February 2009 (UTC)
- My robocode crash after intialize that bot with 73728 buffers! I think it too much :) » Nat | Talk » 07:18, 21 February 2009 (UTC)
Yes, it uses random() to decide which buffers to use, and which slices for those buffers (ie fine, regular, coarse). Unfortunately I couldn't do every possible buffer, due to memory constraints. So I use random() and make a set of buffers that hopefully covers all the segments fairly evenly. Also, if I used every possible combination I would probably run into problems with execution time while extracting buffers to use and smoothing new hits into the buffers. --Skilgannon 22:45, 21 February 2009 (UTC)
One more question: Does it do hit surfing? I go trough your code to understand the flattener (it easier to understand than Dookious one because my robot base on basic surfer, too.) I've recognize that you only do logHit() on hit and do logFlattener on every waves. Does hit surfer competitive? Or I miss something in your code? Thanks. » Nat | Talk » 02:21, 22 February 2009 (UTC)
Yes, hit surfing is the primary way of surfing. The flattener is only enabled against top guns. The reason for this is that if we are flattening the whole time, we can never learn where they are shooting, and dodge those areas. For example, against linear targeting, hit surfing can learn to dodge it perfectly, whereas flattener-only will still get hit. The same is also true against GF bots because they will learn that you move in certain ways, but the moment you get hit by them, you know how they think you move, so you can move differently. By rolling your surfing stats quickly you can stay ahead of their stats and actually do better than just creating a flat profile. Only against fast adapting guns is it necessary to enable the flattener. --Skilgannon 19:49, 22 February 2009 (UTC)
Question: Why you always use Float in DrussGT? Is it faster than Double? » Nat | Talk » 13:51, 6 March 2009 (UTC)
Yes, a float is significantly faster than double for multiplication/addition, which is what I use the most. It is slower for trig due to having to caste into a double, but with the new FastTrig class I can change that. It also uses half the memory. If I tried using doubles DrussGT would skip quite a few turns, and might also skip turns on initialisation due to allocating twice the memory. --Skilgannon 22:14, 6 March 2009 (UTC)
Well, I just decided to add "float" functionality to my FastTrig class. Iterestingly, despite the bulk of the calculation involved being multiplication/addition to get the index it isn't actually significantly different than the plain double version of FastTrig:
FastTrig init time: 0.00703 seconds Wrost error: 0.000436324725 FastTrig time: 0.520 seconds Math time: 8.811 seconds Wrost float error: 0.000465920262 FastTrig float time: 0.510 seconds
The difference is slim enough that I don't think it's worth keeping two different versions. I'm just not sure which version to keep. But indeed, floats are nice for speed/memory and I'm already using them in a componant of my upcoming bot other than the FastTrig --Rednaxela 23:03, 6 March 2009 (UTC)
I don't think floats are faster than doubles at operation time, if I remember correctly calculations are done in higher precision registers anyway. The main time difference comes from the memory bus, a float(32-bits) can be read and written on a single memory access, while doubles(64-bit) are not. Some 64-bit architectures can move the whole 64 bit at once and have no real performance hit, while some use only 48 bit transfers, in those cases there is still a small difference. It's been a long time since I have read any of this, but I think that is the reason. --zyx 06:07, 7 March 2009 (UTC)
I'd say it really depends. For some applications before I've noticed as much as a 10% to 20% difference using floats, even with not being on a 64-bit architecture at all. Though for FastTrig float doesn't give a significant performance benefit. The reduced memory usage though, is of course undenyable. --Rednaxela 06:20, 7 March 2009 (UTC)
Well, the memory is of course half of it when using floats :). That can also affect on performance from the cache fetching point of view, and honestly most people doesn't need the extra precision that comes from using doubles. What I mean is that there isn't any real time performance difference that should people use float over double, if it is memory you need to optimize, float is the way. Otherwise I think people should use which ever he/she feels comfortable with. I use double when is a fresh new application just because doubles can represent all 32-bit integers exactly. And when I'm working with an API(like Robocode) I use the same as the API, that ensures that I will consistently behave the same as the API. I wouldn't consider it PrecisePrediction if it uses floats, because there will be differences when Robocode handles the same situations with doubles, I'd think of it as an approximation to it. When working on something as non-deterministic as a Robocode, maybe it's not even good to have more bits, but I'm a precision freak :/, that's why currently I'm using 628318 divisions on FastTrig --zyx 19:04, 8 March 2009 (UTC)
- Good point about the cache fetching. Also, as a precision freak, I take it you don't like VCS much ;P --Rednaxela 19:18, 8 March 2009 (UTC)
- Hehehe yes, I had been looking forward to making a DC bot for a long time, but I admit that VCS is a very good technique and certainly was easier to learn the heavy stuff of GF and WS using simple VCS. -- zyx
- Zyx, are you precision freak? I think not. I use 7,200,000 divisions on FastTrig in my Pallas! Take about 1 secs to load =) Also define this in it's FastMath class:
public static final double PI = public static final double PI = 3.1415926535897932384626433832795028841971693993751058209749445923078164062862089986...D; // actually it over 2,000 precision!
- :-D So who is real precision freak? I felt more comfortable with Digital (one mistake mean corrupted data), not analog (can have some disort). I always add the asin() to my nano linear targeting. If you are precision freak like me, you should use Anti-Alias VCS from Rednaxela. » Nat | Talk » 06:01, 9 March 2009 (UTC)
- Sheesh, that would take 27.5MB of memory on FastTrig alone, that's outright wasteful. Actually, my anti-aliased VCS, while far lower data distortion than conventional VCS isn't as low-distortion as log-based techniques like DC are. If you made a spectrum where one side was fast/distorted and the other was slow/accurate, then Anti-aliased would fit somewhere in the middle, with DC towards slow/accurate, and Conventional VCS (single buffer) towards fast/distorted. So really, no, anti-aliased VCS isn't for a real precision freak even if it's more precise than other VCS. --Rednaxela 07:11, 9 March 2009 (UTC)
- Well about the number of divisions, you are winning :p, I may push it higher but I haven't seen any real reason to do so yet. As for PI I use the Java Math.PI, but honestly I don't even know how precise it is (I don't really know Java), I just believe it is ok. But instead of your PI constant I would use:
- :-D So who is real precision freak? I felt more comfortable with Digital (one mistake mean corrupted data), not analog (can have some disort). I always add the asin() to my nano linear targeting. If you are precision freak like me, you should use Anti-Alias VCS from Rednaxela. » Nat | Talk » 06:01, 9 March 2009 (UTC)
public static final double PI = Math.acos(-1);
- You can't get better than that, it will be as accurate as your compiler (or JVM in this case) can be :-). About the anti-aliased VCS maybe I will add it to Newton someday, but in the mean time my time will be spent on DC. -- zyx
- Doesn't it
Math.acos(0)*2? Anyway, Math.PI has 20 precision. Mine have 2,000 precision. 100 times! But java double can't handler it =). I think java trig function depend on OS, so predefine it is good ideas. I'm now planning to preloaded 720,000,000 divisions into FastTrig, then my robot jar will count as 300MB. Wait! just kidding! I am not that crazy... Note to your bot, don't stick with Newton and that DC (I can't remember it), create a new robot, base on old bot if necessary. » Nat | Talk » 13:54, 9 March 2009 (UTC)
- Doesn't it
- You can't get better than that, it will be as accurate as your compiler (or JVM in this case) can be :-). About the anti-aliased VCS maybe I will add it to Newton someday, but in the mean time my time will be spent on DC. -- zyx
I would like to point out that your surfing can only be as accurate as the enemy gun. Thus, if the enemy has a very low number of bins (for eg. I have seen 25), keeping PI to 2000 places will make very little difference. On the other hand, this gives me an idea: if you could figure out the granularity of the enemy's shots, and find that it is quite high, there could be 'safe spots' at long distances where the enemy doesn't fire, ie. between bins. In this situation having that precision may help.
To get back to the original point, the reason I switched DrussGT to floats (after going through my private release notes) is that, during testing, it would often crash due to an exception of some sort. Robocode doesn't (or didn't) release the memory from all those buffers when I restarted the match, so I would often have to restart Robocode every 30 minutes or so from running out of memory. By changing to floats it doubled the time between each restart of Robocode. Also, with the number of buffers I'm keeping, and thus the sheer number of floating point multiplication that gets done every tick, having floats instead of doubles means that much less memory is moved around, accessed or modified. For example, if, in the same tick I both get hit by a bullet and sense a bullet being fired, without flatter, just from the VCS I'm doing around 75000 float operations, over 14000 of which are writes to an array. Added to this I still have to do several hundred precise predictions, and it's easy to see how DrussGT could start skipping turns, even if everything just took a *little* bit longer. --Skilgannon 18:48, 9 March 2009 (UTC)
- What you say about safe spots between bins sounds like a good exploit point for some guns, and seems doable without any rocket science theory. --zyx 02:35, 10 March 2009 (UTC)
- Hey, doesn't System.gc() you called handle that? » Nat | Talk » 12:07, 10 March 2009 (UTC)
- Not if the bot crashes before I can call it. To prevent skipped turns I always call it at the end of the round, or in the onDeath handler. So if my bot crashed, it would never get called. Besides, my (crashed) bot was still holding a reference to the buffers, so they wouldn't get cleaned up anyways. --Skilgannon 19:53, 10 March 2009 (UTC)
Hey Skilgannon, I think if you re-structured your source code, you will easier integrated another thing and I'll easier understand your code :-) I always imagine DrussGT as clean as Dookious before I read DrussGT code and I disappointed. If you can clean your code, that would be best thing ever. » Nat | Talk » 00:36, 20 March 2009 (UTC)
Quote"Pleeaase don't just take my bot, tweak it and release it under another name. Rather tell me about the changes, and I'll give you credit.": I've improved DrussGT 1.3.3 Virtual Gun Rating a bit, here. It base on Dookious VGun. I think it perform better, at least against Shadow. » Nat | Talk » 02:52, 20 March 2009 (UTC)
Cool! Nobody's ever really contributed to my code before, so I'm not sure how to go about this. I've read through your changes, they were mainly rolling averages instead of a straight sum for the VG score, and modifying the values that different guns get chosen at, right? While I very much appreciate your effort, I'd actually like to re-code it in a way that makes more sense to me. So I'll give you credit in the /Version History of my next version. I actually had some other ideas on how to ensure that the AS gun doesn't get chosen against bots that don't surf, and it was those I was referring to. I'm not sure how much adding rolling averages to a VG will help, since, unlike GrubbmGrb my guns all learn and adapt. But perhaps they do. What I would be worried about is one gun getting a lucky streak and then me using a gun that is actually weaker. But your rolling averages are quite deep, so I don't think that will really happen. Also, about that cleanup, there is very little that I still want to add to DrussGT, most would be bugfixing. It was never designed to be something that is easy to read, as long as I can understand it, and I can =) --Skilgannon 05:42, 20 March 2009 (UTC)
Right, 2500 is a depth which Dookious use. Also, the 0.22 and 0.26 is from Dookious, too. I don't know about hitting the surfer much, but I think if you lower your vgun rolling averaged depth, you will do better against surfer. Shadow usually hit much by your AS gun in first 3 rounds, then the PM gun, then the DC gun in the rest. I don't know about random-movement, but by lowering my vgun rolling depth to 3 in BlackHole, I got more score from surfer... About code cleaning, actually I understand them but I lazy to scroll up and down to find method :-) Which editor do you use? I think it is not Eclipse because the messy indentation and it is not Robocode's editor since Robocode's show that a large part of DrussGT.java is a comment! (it doesn't understand // */) By the way, the another minor changes that I want you to keep is just to draw current gun and flattener status, as it very helpful not to watch the console while watching robot fighting. » Nat | Talk » 08:11, 20 March 2009 (UTC)
Hey, one more! Please update this robot page! It is getting outdated. AntiSurfer gun is already there but it still in "What's the next for this robot" section. » Nat | Talk » 11:51, 20 March 2009 (UTC)
Against random movement (which makes up the majority of the rumble) having a lower rolling depth for your VG will not help, because their movement doesn't change, so one gun (probably DC) will be strongest. For an editor I am using jGrasp - it is lightweight and runs in Java, which makes it easy for me to use on Linux, as well as keep running while also having a browser and robocode open. It indents things very nicely, it's just that eclipse has different indentation rules. Try opening with Wordpad or another text editor, it looks fine =) --Skilgannon 17:17, 20 March 2009 (UTC)
Hey, I look trough your new code (1.3.4) and realize this thing:
if (robot.getRoundNum() < 1
|| (DCHits > 0.25*bp && DCHits > PMHits*0.98)
|| (DCHits*bp > 0.16 && DCHits >= Math.max(PMHits*0.95,ASHits*0.9))
|| DCHits >= Math.max(PMHits, ASHits)){
should this be
if (robot.getRoundNum() < 1
|| (DCHits > 0.25*bp && DCHits > PMHits*0.98)
|| (DCHits > 0.16*bp && DCHits >= Math.max(PMHits*0.95,ASHits*0.9))
|| DCHits >= Math.max(PMHits, ASHits)){
? If you multiply DCHits with bulletPassed, which both integer, you will get something really large that always over 0.16. » Nat | Talk » 00:18, 24 March 2009 (UTC)
Wow. Yes, that could be a problem =) Programming in the evening, after a day at university which followed a night with minimal sleep, doesn't seem the best idea =) It looks like 1.3.4 lost quite a bit of score against weaker bots (as expected) - I'll release 1.3.5 right away. --Skilgannon 11:56, 24 March 2009 (UTC)
Hmm. It seems there is a problem somewhere. I wish I could do diffs against old versions so I could see where problems are. I'll probably end up reverting back to 1.3.3 and re-applying the changes I made :-/ I guess I should let them at least stabilise first though... --Skilgannon 20:42, 24 March 2009 (UTC)
Hmm? Diffs against old versions shouldn't be hard considering the source code is in the jar file, at least with a *nix system. --Rednaxela 20:50, 24 March 2009 (UTC)
No, I mean score diffs with the new rumble. Development is going to be a completely different game without them... --Skilgannon 20:53, 24 March 2009 (UTC)
Oh the score diffs... yeah.... lack of those is a really big pain... --Rednaxela 21:09, 24 March 2009 (UTC)
Sorry about that, haven't had much time recently for more rumble server development. But comparisons are the next feature to be added. --Darkcanuck 03:15, 25 March 2009 (UTC)
ERRRRRGH!!! 1.3.5 still below Dookious!!! I think you might broke your DC gun somewhere, try release another version with only DC gun (or always set DCWave.onlyDC = true) and see. Some suggestion on gun disabling, I think you should check on how many 'ticks' that the gun perform. Some example cases: Shadow. It get around 13% for every guns, but sometime DC go up to 15% and other at 11% so other guns get disabled, but some time AS get 16%, PM 15% and DC 10%! This mean Shadow usually squeeze your rating so you should count time that it operate instead of current rating. Hope it clear enough. » Nat | Talk » 09:45, 25 March 2009 (UTC)
I actually think there might be a problem in the DCWave.onlyDC, it might be throwing an exception somewhere because I set the AS bins and the PM string to null and somewhere is still accessing them. I'll figure it out when I get home... --Skilgannon 11:44, 25 March 2009 (UTC)
- I've read through the code and found no reference to ASBuffer or PMData that do not enclose with if (!DCWave.onlyDC). There are 2 logASBuffer call that do not enclose, but it reference to currentASSegment that don't get cleared. (Clear array do not clear the reference). Anyway, I've run 35 rounds test against TheArtOfWar and GrubbmGrb and found no exceptions being thrown. » Nat | Talk » 12:12, 25 March 2009 (UTC)
I think you PM gun is broke somewhere, here a gun rating result for GrubbmGrb:
DC gun: 50.0 PM gun: 0.0 AS gun: 27.272727272727273
That's the first round where GrubbmGrb do Stop And Go. » Nat | Talk » 12:31, 25 March 2009 (UTC)
Voidious is so good he took the crown back without a single line of code changed. --zyx 02:02, 26 March 2009 (UTC)
- ... and he will lost his new throne faster than last time, when Slikgannon revert back to 1.3.3 ... » Nat | Talk » 02:27, 26 March 2009 (UTC)
Skilgannon, what make 1.3.4/5 buggy? Is it my improvement or the gun disabling? If it is my improvement, then I'll change my one in BlackHole :-) » Nat | Talk » 09:21, 26 March 2009 (UTC)
I've actually got no idea =) I just reverted to 1.3.3 and tried using a different method for changing the VG rules. To me it makes more sense to vary the rules based on how much data you have, because otherwise the main gun in your VG might just have a high/low hitrate due to being lucky in early rounds. I'm guessing it was neither of the things you mentioned, I might have been testing late at night and changed something that I forgot about. If you want, you can diff the files, but I don't really feel the need to, now that I've reverted whatever it was =) --Skilgannon 09:29, 26 March 2009 (UTC)
Diff:
- You don't normalize BFT in 1.3.5
- DCWaves.ANGLE_SCALE was increase from 24 to 128
Does it mean anything? » Nat | Talk » 09:39, 26 March 2009 (UTC)
- The first was the bug that made the pattern matcher not work... the bullet flight time is required in the PM to know how far forward in the log we should start looking forward for matches. It would find the match starting from 0, which will always match because that is the substring it got the data from. The ANGLE_SCALE is also pattern matcher, it adjusts the granularity of the deltaHeading that gets kept. So if you want to rebuild accurately you should have a high ANGLE_SCALE, but then you will get less matches. --Skilgannon 15:14, 26 March 2009 (UTC)
But I really want you to keep the graphical part and "Switching to ..... gun". The word "... gun enabled" is somewhat weird since you don't really enabled the gun. If you enabled it, you have to disabled before enabled other gun :-) » Nat | Talk » 09:42, 26 March 2009 (UTC)
OK, yes, I'll change that for the next version =) --Skilgannon 15:14, 26 March 2009 (UTC)
PL King
Anyone realize that DrussGT 1.3.6 have successfully dethrone Shadow PL king! Ans win Shadow with 50.10% after 6 battles! Congratulation! » Nat | Talk » 03:53, 27 March 2009 (UTC)
And it successfully defeat shadow in 1000 rounds battle! Congratulation again, Slikgannon, the one who defeat Shadow! (I think you're the first one, not sure) Keep up good work! Not let shadow take your throne back! If you finish you decent melee surfing and decent melee gun, try kill Shadow like Shadow to to SandboxDT, and I'll kill you again with my new bot :-) » Nat | Talk » 11:05, 27 March 2009 (UTC)
Ahh forget this thing:
I think some elder version can kill it already since it always use DC gun, and DC gun isn't change since 1.3.1 » Nat | Talk » 11:09, 27 March 2009 (UTC) 11:09, 27 March 2009 (UTC)
It's not very much of a margin, and having the other guns may help in the beginning, making Shadow's movement adapt into being something that is easier for the DC gun to hit later. If I can find the time I'll get moving on that melee stuff. What I want eventually is a bot that can adapt fluidly between any amount of bots... --Skilgannon 11:33, 27 March 2009 (UTC)
- If you more femilar with one-on-one, think melee as one-on-one with no radar lock (or infinity lock) will make it easier than to start developing from melee. :-) » Nat | Talk » 06:08, 28 March 2009 (UTC)
As fas as I know, no robot can ever defeat Shadow in 1k round battle. Also, DrussGT 1.3.6 is the first bot who win Shadow 3.83c (see Shadow ranking detail page, sort by score)! Even Phoenix get ~42% (500 rounds) and Dookious at ~38% (100 rounds) Actually, DrussGT keep rating diff at about 500 - 2000 point whole battle! » Nat | Talk » 12:09, 27 March 2009 (UTC)
It's true that 51% to 49% is not a big win, but DrussGT is now 1st in PL, have barely beaten Shadow. So congratulations are still in place. --zyx 17:27, 27 March 2009 (UTC)
One thing that amuse me from version 1.3.12 is that you use Red's tree in your gun but you still use Sim's tree in your movement =) » Nat | Talk » 11:08, 5 September 2009 (UTC)
I need to update it eventually but I'll wait until I have something big to change in the movement before I bother messing with the movement code and then retesting to make sure nothing is broken =) Also, performance hit isn't that big because it's only 3 dimensions and only has the scans from actual enemy bullet powers. --Skilgannon 11:30, 5 September 2009 (UTC)
I'm curious - what do you use the tree for in your movement? I thought DrussGT's movement was pure VCS. --Voidious 16:32, 5 September 2009 (UTC)
I have a tree to predict what bullet power the enemy will use, so that I can do Gunheat Surfing, ie. start surfing 2 ticks before I actually detect a wave. I've made a version with Rednaxela's tree in there now and a slightly cleaner/more pluggable structure, I'm just running a speed-optimized tweak through the MC2K7 to make sure it doesn't hurt my score before I release. --Skilgannon 17:11, 5 September 2009 (UTC)
Movement Prediction
From User talk:Nat/Free code, I finally got it, except the line:
if(Math.abs(acosVal) <= 1){I don't what it do, can you explain it please? » Nat | Talk » 13:12, 8 June 2009 (UTC)
This is just a check to make sure that acos doesn't throw an exception, because acos only takes an argument between -1 and 1. It shouldn't really be possible, but if a prediction went wrong or got fed funny data I don't want my bot crashing =) --Skilgannon 16:22, 8 June 2009 (UTC)
Thanks. » Nat | Talk » 16:38, 8 June 2009 (UTC)
How do you test?
Back when I was last focusing on 1v1 MegaBot development, I remember having many phases in my testing style... For a while, I would run 1-2 seasons against a field of 250+ bots. Later, I recall just always having an intuitive sense of how to test a certain change, or not even testing much at all. I've been using various test beds for Diamond, but they are really just giving me a very general ballpark result. If you wouldn't mind lending some insight, I'm curious, what kind of testing do you use for DrussGT these days? (TCs are pretty reliable for gun changes, so I guess I mainly mean movement, but advice on either or both is welcome. =)) --Voidious 16:03, 1 September 2009 (UTC)
I don't think Skilgannon tests his robot, at least not when he has got this 1st position » Nat | Talk » 16:14, 1 September 2009 (UTC)
I mostly try to up my scores against my worst problem bots, usually running 4-5 matches for each tweak to get an idea if it helps. Afterwards I'll run a match or 3 against 1) RaikoMicro to test that I haven't broken anything against simple GF 2) DoctorBob to test that I haven't broken anything against LT and 3) Shadow to test against top-bots, and because it runs fast =) However, I find that I get my best improvements by fixing things that I know are broken or by adding new features, for instance right now I've been working on skipped turns because I know that has been a problem. --Skilgannon 17:44, 1 September 2009 (UTC)
Cool - thanks for the feedback, it's much appreciated. =) --Voidious 21:00, 1 September 2009 (UTC)
Imaginary Wave Surfing
When the imaginary gunheat drop to zero, you fire the imaginary enemy wave, then you re-calculate the precise prediction and choose new destination. But when you detect the energy drop, you remove the imaginary wave to use the real wave, and you re-calculate all the dimension/precise prediction/safe destination. So is it help since you re-calculate all things? » Nat | Talk » 06:55, 6 September 2009 (UTC)
Yes, it still helps, because I get an extra 2 ticks worth of reaction time =) The only reason I recalculate is because there are small things that I can't predict at the time the imaginary wave is fired, like what distance segment will be used for next tick based on my next location. Also, if the bot doesn't fire the moment their gunheat is 0 (instead they wait for their gun to aim, like Shadow or Dookious) then the gunheat wave will be fired at the wrong time anyways, so definitely needs to be recalculated. I should probably add in a condition so that I don't fire gunheat waves against bots that don't fire the moment their gun is cold, but I don't want to 'fix' what isn't broken =) I'll probably add something eventually, but for now it all works fine =) --Skilgannon 11:41, 6 September 2009 (UTC)
