Awesome enty

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Revision as of 21 June 2021 at 05:46.
The highlighted comment was edited in this revision. [diff]

Awesome enty

This new bot of yours really is awesome ! It is really beating the hell out of the topbots, even without BulletShielding.

Alas I am not able to run any battles for it, as I am still on Java 8.

    GrubbmGait (talk)15:48, 19 May 2021

    Thanks! I will make it Java 8 compatible for the next release.

      --Kev (talk)02:17, 20 May 2021

      Just wanted to add to this thread, this robot truly is a beast! Congratulations on 100% PWIN!

        Slugzilla (talk)06:20, 23 May 2021
         

        alas, in version 0.11, still some parts are not Java 8 compatible: kc/mega/game/Battleffield has been compiled by version 57.0.
        Does not matter that much, I am just not able (currently) to run any battles for it. Same for Raven as it has been compiled by version 55.0.

          GrubbmGait (talk)13:14, 5 June 2021

          Oops, I will have another go at fixing it for my next release!

            --Kev (talk)08:58, 6 June 2021

            I've downloaded Java 13, I can now run battles for BeepBoop. After rebuilding the robot-database, also Raven and WaveShark run fine. Note that for my development I will still use the compiler option '-source 1.8'

              GrubbmGait (talk)13:14, 7 June 2021

              Ok, great! I compiled 0.11 with --release 8, but I think it didn't work because there were some old .class files lying around that didn't get overridden.

                --Kev (talk)00:49, 8 June 2021
                 
                 
                 
                 

                Oh wow, missed this! Awesome work Kev, you have a history of popping up with surprise entries =)

                I'd be curious to know more about the Tensorflow work you did to make the KNN features...

                  Skilgannon (talk)23:26, 13 June 2021

                  Thanks! I wrote a brief description under BeepBoop/Understanding_BeepBoop, but I'll release the code too once I get it cleaned up.

                    --Kev (talk)01:13, 15 June 2021

                    Aha, I missed the last section. Surprised there wasn't more to gain from some kind of deeper embedding model.

                      Skilgannon (talk)11:28, 15 June 2021

                      Me too, and I'll maybe revisit it at some point. Theoretically a deeper embedding model could learn feature interactions like "wall-ahead is more important when velocity is 8 than when it is 0"

                        --Kev (talk)21:33, 20 June 2021

                        I’m surprised as well. Btw, how many layers are you using in the deeper model? And is that fully connected? I guess some deeper models with explicit feature interactions may work better in robocode scenario, given high noise. I would try things like Deep&Cross, DeepFM, etc.

                          Xor (talk)07:31, 21 June 2021
                           
                           
                           
                           

                          Yeah, very cool to see! Congrats from me, too! And I'm enjoying reading about it.

                            Voidious (talk)17:29, 18 June 2021

                            Hey Voidious, long time no see! Glad you enjoyed reading about it, I learned a lot from Diamond's code while developing BeepBoop.

                              --Kev (talk)21:31, 20 June 2021