Wraith/Version History

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Wraith - Version History - Challenge Results - Wolfman's TODO List

V 0.3

RoboRumble: -??

• Removed all old guns from the gun array firing at opponents in favour of a single DC gun while it gets tuned to the max.
• Much improved calculation of Maximum Escape Angle that takes into account: Opponent velocity, heading, walls, bot width. Utilises non-smoothed precise prediction.
• New DC gun is not yet optimised, very slow initialisation (skipping turns on first init) and is slow after that - but will be improved with upcoming work.

V 0.20

RoboRumble: - 177th APS ~69.27

• Added GuessFactor gun to virtual gun array for firing at opponents.
• Other small tweaks.

V 0.17

RoboRumble: - 283rd APS ~64.39

• Remove simple circular gun from VGA.
• Fix bug in detection of power 3.0 bullets fired by opponent.
• Massive optimisation (~150% faster).
• Increased DangerPrediction iteration count to 3 per frame from 2.
• New stationary movement mode when opponent is dead or disabled.
• New colour scheme to differentiate from AgentSmith and AgentSmithRedux

Author's notes: Turns out that it was not the simple circular gun reducing the APS by 2%, it was only doing it in my set of test bots!.

V 0.15

RoboRumble: - 281st APS ~64.47

• Fix crash bugs
• Fix occasional crash into walls
• Optimisations to make it run faster
• Added simple circular gun to the gun array
• Added future bullet prediction to the DangerPrediction. Currently predicts +1 bullet ahead based on target gun heat.

Author's notes: Turns out that adding the simple circular gun to the VGA actually decreased the score by 2%.

V 0.11

RoboRumble: - 224th, APS ~66.61

• Fix Robocode version to match RoboRumble.

V 0.1

RoboRumble: - ??? (Wrong robocode version)

• Very early release
• Refactor of AgentSmithRedux internals for handling of history & prediction positions to use absolute ticks instead of relative. Makes reasoning about mismatches in tick values easier to understand and track down bugs.
• On rumble to ensure no major bugs introduced in refactor so should be similar score to AgentSmithRedux if it goes well!