Difference between revisions of "Talk:RobocodeJGAP"

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(Choice of opponants)
 
 
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== Choice of opponants ==
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== Choice of opponents ==
  
 
Hmm, I wonder if voidious.Dookious, sample.TrackFire, and bestaspirant.Aspirant_winner are the best choices really. I think Dookious is likely strong to such a point that the outcome of matches with it is probably predominantly random noise until you get to a certain strength level, and I think sample.TrackFire might be a bit too atypical of what's out there. In my mind it would make more sense to maybe choose something like:
 
Hmm, I wonder if voidious.Dookious, sample.TrackFire, and bestaspirant.Aspirant_winner are the best choices really. I think Dookious is likely strong to such a point that the outcome of matches with it is probably predominantly random noise until you get to a certain strength level, and I think sample.TrackFire might be a bit too atypical of what's out there. In my mind it would make more sense to maybe choose something like:

Latest revision as of 18:28, 14 December 2008

Choice of opponents

Hmm, I wonder if voidious.Dookious, sample.TrackFire, and bestaspirant.Aspirant_winner are the best choices really. I think Dookious is likely strong to such a point that the outcome of matches with it is probably predominantly random noise until you get to a certain strength level, and I think sample.TrackFire might be a bit too atypical of what's out there. In my mind it would make more sense to maybe choose something like:

  • a mid strength head-on-targeter (hopefully to teach it of head-on avoidance)
  • a rambot (there are a few of them out there, it's good to learn how to avoid them)
  • and a non-top nano patternmatcher (there are quite a number of simple patternmatcher guns out there).

or maybe replace the rambot with some non-patternmatcher mid strength nanobot if you decide to not care about rammers. In addition, getting a learning-heavy bot like Dookious out of the mix would make it possible to run a bit faster. What do others think? --Rednaxela 16:57, 11 December 2008 (UTC)