1.10

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Revision as of 3 October 2017 at 08:43.
The [/w/index.php?title=Talk:Firestarter/Version_History&offset=20171003084332&lqt_mustshow=5841 highlighted comment] was created in this revision.

Hey, congrats on the great update!

From what I understand from your version history message, what you did in this version is a simpler version of what I have been working on for a while now - the idea of gunheat waves in melee. I'll release tomorrow hopefully, but in the mean time some of the infrastructure I needed in order to get there enabled me to do some other things which are interesting - mostly around bullet power management.

And thanks for the competition, it is difficult to find motivation without strong opponents! In fact, thanks to all the robocoders who have been recently active, I was afraid that the robocode community had died! It is great seeing some new life in the rumble, especially with very strong bots!

    Skilgannon (talk)19:28, 2 October 2017

    Thanks! I haven't looked into the concept of gun heat waves that much yet, but it's interesting, especially in melee where it's a bigger challenge to detect enemy waves.

    What I changed in 1.10 is actually concerning the gun. Firestarter fires a virtual bullet wave each tick now. Apparently this speeds up learning and it increased the performance of the guess factor gun, even against surfers.

    I am curious about your new version! And I agree, I am happy to see so many people active, and I wonder where this activity suddenly comes from. Maybe AI and Deep Learning becoming popular in the media also sparked new interest in Robocode.

      Cb (talk)20:02, 2 October 2017

      Ah, ok. I thought it would be movement related, and perhps you are doing some kind of shrapnel dodging.

      A good way I found to get a balance between the every-tick vs fire-only is to use "time to/from fire" as an attribute, this way you get the fast learning as well as the better targeting of bots that react to enemy fire once you have enough data.

      Happy robocoding!

        Skilgannon (talk)20:16, 2 October 2017

        As far as I understood, shrapnel surfing is about simulating virtual bullets and moving away from them by using anti gravity. I tried something like this in earlier versions, but I couldn't make it work that well. Next, I used pure minimum risk movement which worked well. Currently, it is a mix of both positional and wave evaluation.

        Thank you, good to know about that time attribute :)

          Cb (talk)20:46, 2 October 2017

          IMO, bots using precise prediction (1v1) can also be called shrapnel surfing ;) e.g. ScalarBot is avoiding some "Virtual Bullets" with equal weights using true surfing, but that works similar to shrapnel surfing with anti-gravity. IMO the real difference between traditional wave surfing and shrapnel surfing is whether you are avoiding some "shrapnel" or just minimizing some probability (mostly from VCS bins or trees).

          BTW, are you trying to avoid bullets using minimum risk before recent updates? Or just traditional minimum risk like HOF & Diamond.

            Xor (talk)05:15, 3 October 2017
             
             
             

            Wow, that's a great idea — I've been thinking about melee wave surfing for awhile, and gun heat waves in melee also once came to my mind. Great to hear that working!

              Xor (talk)04:53, 3 October 2017

              I am working on a melee surfing bot too and I 'm thinking about robot shadow. You can mark a part of the wave that hit a robot as completely safe.

                Dsekercioglu (talk)05:11, 3 October 2017

                "Bot Shadow" also once came to my mind ;) the real problem is always that you never know the exact things in the battle field. But that should work any way.

                  Xor (talk)05:20, 3 October 2017
                   

                  Neuromancer has been doing Bot Shadows since 1.1 ;-) It gave a nice score increase too!

                    Skilgannon (talk)08:43, 3 October 2017
                     
                     
                     
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