Talk:Tomcat
Wow, v 3.15.155 beat Shadow, Dookious, GresSuffurd, Ascendant, Etna, Firebird, WaveSerpent!:) Crossing my fingers...:) --Jdev 08:53, 10 August 2011 (UTC)
Just wanted to say nice job with Tomcat - I only just noticed its strong performance against top bots. 57% vs both Dookious and Pris, and giving Diamond some tough battles (which is what caught my eye) - very nice! Might be time to throw it into my test bed. =) --Voidious 22:18, 1 September 2011 (UTC)
- Thank you, Voidious:) And here big room for improvements, so be careful;) And Diamond already in my test bed:)
Congratulations for making the top 20. I've been trying to catch you with XanderCat, but so far you have remained consistently a few steps ahead of me. :-) Your scores against Pris and WaveSerpent are amazing. I finally came up with a flattener that helps me against the top bots, but I'm still a long ways from where you are at. I can't seem to find any way to improve my scores against DrussGT, Diamond, or Scarlet. -- Skotty 23:11, 29 September 2011 (UTC)
Thank you, Skotty:) Breath of XanderCat is like wind in Tomcat's sail:) --Jdev 04:25, 30 September 2011 (UTC)
Very nice work! Looks like Pris has a new nemesis... --Darkcanuck 03:58, 30 September 2011 (UTC)
Congrats from me, too - and to Skotty as well! You guys have really stormed up the rankings of late. It's great to see so many active bots at the top of the rumble. --Voidious 04:12, 30 September 2011 (UTC)
Thank you too:) I think soon breath of Tomcat will accelerate Nene and we make our own TOP-3 with black jack and... you know:) --Jdev 04:25, 30 September 2011 (UTC)
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Contents
Thread title | Replies | Last modified |
---|---|---|
The Cats | 26 | 20:28, 31 December 2016 |
Tomcat's logo | 2 | 20:22, 28 November 2011 |
Tomcat's future | 11 | 12:23, 17 November 2011 |
I'm not competing with you anymore. lol. Nice job. You even have the PL crown right now, so long as you can keep that tiny edge on DrussGT. Gonna go hang out with PEZ now.
Thanks and i'm sure, that you and Chase soon get inspiration and time and we will make our own TOP-3 with black jack and ... you know:)
Hi, I think that chase-san will keep his promise. Mint is in the top ten.
Really ? Do you expect me to come back after 4 years and re-enter the top-10 again ? And that 3 weeks before NewYear . . .
Why not. What else to during the New Year celebration :) This year the rumble was quite, let's shake it up.
I am also trying to move the rankings but WhiteFang's movement is really bad when the gun isn't. And GrubbmGait, I don't expect you to get in the top 10; I want you to get in the top 3.=)
No worries, Mint is just a refactor/cleanup of Nene, so soon as it reaches the same rank I am going to pull Nene out, meaning your bot will reenter the top 10, unless someone pushes you another spot further down.
All I have left to do really is to re-add multiwave surfing and it should be as good or better than Nene.
Good news for GrubbmGait: GresSuffured will be in the top ten again.
Very nice logo there! I think that makes for the most impressive robot logo in robocode history :P --Rednaxela 06:05, 28 November 2011 (UTC)
Ok now i can say, that Tomcat reach 15th place. And it's means that easy level is completed and now starts really hard challenge. And there is future plans of Tomcat's development:
- Research kNN vs RS - i think it will first thing, which i will do. But my bycicle inventor's soul encourage me to implement my own vantage tree to NNS
- use in targeting same data source choose algorithm, like in movement. I think this will be second thing
- NN or GA approximator for simple (HOT, Linear and Circular) guns
- return to my new single-tick PIF gun research, which give me 66% hit rate against Crazy and 99% against Walls
- make real good movement (100% against HOT, >99% againt DevilFish and DoctorBob)
- try to implement RS/kNN-GF gun
- Bullet shielding. I leave it at the end, because this points i can get with gurantee. For Tomcat it's more significant improvement, because he successfully exploit information about places, where enemy is not fire
- Multiple wave surfing. I leave it lasty with same reason. Please, who done this, say how much APS you get with this improvement
Good job, and don't worry, if you get too close i'll write a gun and just jump up into the top 10 (Nene uses Raiko's gun, who ranks #85).
Though I don't want to, as I have so much more work to do in the movement.
Interesting, but change RS to kNN in movement give me -1 APS... So getting to club 2100 postponed a little:)
Congrats! I think you are the first one to ever push Shadow out of the top-10! And you are making it harder for me to reach top-5 (if I ever get the time).
Another idea to try: every time, when info about enemy fire angle collected, calculate intersection between profiles produced by hit & visit logs with same segmentations. Theoretically, intersection area must correlate with quality of segmentation. Or, if it can be executed in bounds of turn limit, generate every tick random segmentation, build visit and hit logs with this segmentation and see, how they intersects. In both cases use visit logs with segmentation with best intersection
As for the gains from multiple wave surfing. I don't know the APS figures, but I know this: When I about ideas for how to improve my bot (on Google Plus), Voidious mentioned this as his first item. I'm sure that must mean something. =) That said, CassiusClay does surf multiple waves, in a very simple manner (weighting each wave based on proximity).
Next week my girlfriend going to business trip for a week, so... it's all ok and no reason to spend time on robocode (looks to Voidious and Skilgannon :))
But Tomcat begins its hunt. So...
List to closest todos with high probability of improvements:
- If it's possible, go on current wave to position, starts from which allows pass safest point on current wave in best direction on second wave
- Devide current gun to virtual guns array with main and AS guns
- implement multiply wave surfing
List of future plans for investigation:
- reimplement with new vision my single tick pif idea and try it for targeting and precise enemy movement prediction in movement
- play with idea of guess factor pattern matching or use gf pattern as context for kNN-PIF