A script to demonstrate Support Vector Machine (SVM) classification on outcomes of the battles of Robocode.
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robocode-svm/robocode-svm

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1.9 KiB

#!/usr/bin/env bash
set -u
set -e
# File locations
path="$HOME/dev/bash/robocode/svm"
settings="$path/.settings.battle"
results="$path/.results.data"
training="$path/training.data"
testing="$path/testing.data"
# Battle parameters
rounds=10
width=500
height=500
# Make sure files are right
cd $path
rm -f "$results"; touch "$results"
# Repeat the battle desired number of times
for i in `seq 1 $rounds`;
do
# Generate input parameters
number=$RANDOM; let "number %= $width"; x=$number
number=$RANDOM; let "number %= $height"; y=$number
number=$RANDOM; let "number %= 360"; alpha=$number
# Write current settings to a file; first robot starts in the middle, with fixed gun angle;
# the other one start at random known position, with random known gun angle
echo "#Battle Properties
robocode.battleField.width=$width
robocode.battleField.height=$height
robocode.battle.numRounds=1
robocode.battle.gunCoolingRate=0.1
robocode.battle.rules.inactivityTime=450
robocode.battle.selectedRobots=sample.TrackFire,sample.TrackFire
robocode.battle.initialPositions=($(($width/2)),$(($height/2)),0),($x,$y,$alpha)" > "$settings"
# Extract the winner from battle
winner=$(robocode -nodisplay -battle "$settings" | tail -2 | awk 'NR==1 {print substr($3,2,1)}')
# Inform user about the winner of current round and append the results to the file
echo "Round $i winner: $winner"
echo "$winner 1:$x 2:$y" >> "$results"
# echo "$winner 1:$x 2:$y 3:$alpha" >> "$results"
done
# Calculate the lines needed to split the data to 90% and 10%
tr=$(bc <<< "scale=0; $rounds * 0.9 / 1");
te=$(bc <<< "scale=0; ($rounds - $tr) / 1");
echo "tr: $tr, te: $te"
# Scale the results to interval <0, 1> and split them to training set and testing set;
# misuse tee for 'process substituion' and send its stdout do /dev/null
svm-scale -l 0 -u 1 "$results" | tee >(head -n $tr > "$training") >(tail -n $te > "$testing") > /dev/null