Ali/Version History

Ali Sub-pages:

Ali - Version History - BumbleBee

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• Version 0.1 - 1973 (PM gun)
• Version 0.2 - 2042 (Fuzzy GF gun)
• Version 0.2.1 - 2043
  • Bug fixes in the fuzzy matching.
  • The log is now cleaned and truncated to 8000 waves when it reaches 12000 waves. (Based on how often each scan is fuzzily matched.)
• Version 0.2.2 - 2042
  • Uses normalized real data instead of crude indexes
• Version 0.2.3 - 1999
  • Only runs the matching once before firing
  • Uses straight differences when matching (so called Manhattan distance)
  • Tweaked dimensions weighting
• Version 0.2.4 - 1987
  • Back to Euclidian distances in matching
  • Reset the dimension weighting back to 0.2.2
• Version 0.2.5 - 2046
  • Back to 0.2.3 config
  • Gunalignment and "only-run-matching-once-per-bullet" re-visited.
• Version 0.3 - 1974
  • Segmentation on velocity and wall proximity only
  • Removed MultipleChoice. Now only uses the best matching log entry.
• Version 0.3.1 - 1995 - As of May 2005. Not comparable with the above scores, but with the below.
  • Segmentation wall proximity, time since velocity change and distance traveled last 15, 60 and 120 ticks (TronsGun inspired)
  • Reinstalled MultipleChoice. Using the 15 best matching entries.
  • Chebyshev Distance (|a - b|) used for comparing log entries
• Version 0.4.1 - 2018
  • ApproachVelocity dimension removed
  • Dimensions somewhat normalized around 0-75
• Version 0.4.2 - 2032
  • Reverse wall distance dimension added
  • Tuned the threshold to select the log entries used for MultipleChoice
  • Tuned the weights on each dimension
• Version 0.4.3 - 2032
  • Using a fixed cluster size (100) of the best matching log entries.
  • To speed things up the log is first filtered through a coarse selection of half-good matches.
  • Weighting of dimensions: Firedistance = 1 and all others 2.
• Version 0.4.4 - 2031
  • Minor tweak of cluster size and coarse filtereing threshold
  • Refactored the selection process
• Version 0.4.5 - 2034 (Top 10!)
  • Tweaking weights of segmentation dimensions
• Version 0.4.6 - 2037
  • Using Euclidian distances for phase-2 cluster selection
• Version 0.4.7 - 2037
  • DCBot inspired weighting of the dimensions (an experiment)
  • Added segmentation on approach angle and time-since-fired. (Also DCBot inspired)
  • Squared Euclidian distances used for both phase 1 & 2. (Squared since it should render the exact same results and I save quite a few calls to Math.sqrt() this way.)
  • Some other stuff too that I can't really recall. All in all too many experiments in one batch to really be useful for feedback. But it seems in my little testing that the short-battle performance has imporoved.

(Everything is about the gun in this bot. The movement is always the same as the current dev version of CassiusClay.)