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Jan Gutter's entry for the 2013 Entelect R100K challenge
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Welcome poor traveller, to a blasted land filled with the hulks of might-have-beens, hastily constructed edifices of dizzying height and baroque architecture doing arcane things that might drive the calmest sage insane. If you haven't fled yet, well, this is my entry for the Entelect R100K challenge for 2013. This is mostly for historical archival purpose: I made ONE functional change (if you guys can spot it!) and I added a README (this file) and COPYING explaining the sub-licences for the projects I used. Which brings me to the acknowledgements. No work stands alone: if I've come this far, it's only because of the people in my life that helped me and shaped me. I obviously have to give thanks to my parents and family: without their support and understanding I would never have made it this far. They are NOT to blame for any insanity I still exhibit. Another one to embarrass is Marc Lanctot, he of http://mlanctot.info/ He gave quite a lot of brilliant tips of how to apply MCTS to the intractable bits of the problem. Again, any bugs, any hilariously stupid implementation problems and logical issues are there despite his fervent efforts to educate me. Poor Justin Schoeman. I used him as a sounding board and his constant criticisms kept me on my toes. Yes, the fact that my bots are slightly less crap was because he kept pointing out how they spontaneously started running into bullets. I also have to thank Evan Knowles from Entelect for replying to the millions of clarification emails I kept sending. Whatever mail system he's using has surely been stress-tested. There are many more people who helped make this a worthwhile experience: The guys from wargeeks, the Google Group set up for this contest and anyone who commiserated, joked and helped with the despair near the end. Thanks guys! So, with that out of the way, let me at least point you into one fun direction: In battletanks.cpp, if you switch out the line: netcore->policy = POLICY_MCTS; with netcore->policy = POLICY_GREEDY; you can see what my bot does under deterministic situations. I have no doubt I've broken something particularly bad in the MCTS side (I think it might be in the interpretation of the MCTS results bit, but I'm not sure yet) that causes some weird effects. In any case, now you get TWO for ONE: try the deterministic one and see if it's better or worse than the MCTS "enhanced" version! Good luck and may your sanity survive! Jan Gutter (07 October 2013)
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