adding experiment scripts

machine1.sh

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+for learner in thompson neighbor knearest random MLP linear exp3a exp3b exp3c exp3d; do
+    sh ./runlearner.sh tmp/BV $learner
+    sh ./runlearner.sh tmp/QF_ABV $learner
+    sh ./runlearner.sh tmp/QF_AUFBV $learner
+done

machine2.sh

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+for learner in thompson neighbor; do
+    sh ./runlearner.sh tmp/uclid $learner
+done

machine3.sh

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+for learner in knearest random; do
+    sh ./runlearner.sh tmp/uclid $learner
+done

machine4.sh

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+for learner in MLP linear; do
+    sh ./runlearner.sh tmp/uclid $learner
+done

machine5.sh

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+for learner in exp3a exp3b; do
+    sh ./runlearner.sh tmp/uclid $learner
+done

machine6.sh

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+for learner in exp3c exp3d; do
+    sh ./runlearner.sh tmp/uclid $learner
+done

machine7.sh

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+for learner in thompson neighbor knearest random MLP linear exp3a exp3b exp3c exp3d; do
+    sh ./runlearner.sh tmp/Sage2 $learner
+done

runlearner.sh

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+for seed in 0 1; do
+    if [ $2 == exp3a ]
+    then
+        learnconfig="exp3 --gamma 0.07"
+    elif [ $2 == exp3b ]
+    then
+        learnconfig="exp3 --gamma 0.1"
+    elif [ $2 == exp3c ]
+    then
+        learnconfig="exp3 --gamma 0.25"
+    elif [ $2 == exp3d ]
+    then
+        learnconfig="exp3 --gamma 0.5"
+    else 
+        learnconfig=$2
+    fi
+    for feature in both probes bow; do
+        for reward in binary bump exp; do
+            medley ./$1/ ./$1/${2}_${feature}_${reward}_const_${seed}.csv   --classifier $learnconfig --seed $seed --feature_setting $feature --reward $reward --timeout_manager const --set_const 60
+            medley ./$1/ ./$1/${2}_${feature}_${reward}_expo_${seed}.csv    --classifier $learnconfig --seed $seed --feature_setting $feature --reward $reward --timeout_manager expo
+            medley ./$1/ ./$1/${2}_${feature}_${reward}_nearest_${seed}.csv --classifier $learnconfig --seed $seed --feature_setting $feature --reward $reward --timeout_manager nearest --time_k 20
+        done 
+    done 
+done