paste P0.0050.dat P0.01.dat P0.05.dat | pl -eps -o pursuit-optimal.eps -prefab lines data=- -x=1 y=3 name="alpha = 0.005" y2=6 name2="alpha = 0.01" y3=9 name3="alpha = 0.05" pointsym=none pointsym2=none pointsym3=none ylbl="% Optimal" xlbl=Plays title="Pursuit Learning"
paste P0.0050.dat P0.01.dat P0.05.dat | pl -eps -o pursuit-reward.eps -prefab lines data=- -x=1 y=2 name="alpha = 0.005" y2=5 name2="alpha = 0.01" y3=8 name3="alpha = 0.05" pointsym=none pointsym2=none pointsym3=none ylbl="Average Reward" xlbl=Plays title="Pursuit Learning"
paste G0.1.dat | pl -eps -o greedy-optimal.eps -prefab lines data=- -x=1 y=3 name="alpha = 0.1" pointsym=none ylbl="% Optimal" xlbl=Plays title="eGreedy Learning"
paste G0.1.dat | pl -eps -o greedy-reward.eps -prefab lines data=- -x=1 y=2 name="alpha = 0.1" pointsym=none ylbl="Average Reward" xlbl=Plays title="eGreedy Learning"
#paste RDM0.1.dat | pl -eps -o rdm-optimal.eps -prefab lines data=- -x=1 y=3 name="0.1" pointsym=none ylbl="% Optimal" xlbl=Plays title="Reinforce Delta Mean Learning"
paste RDM0.1.dat RDMtest.dat RC0.1.dat | pl -eps -o rdm-optimal.eps -prefab lines data=- -x=1 y=3 name="rdm 0.1" y2=6 name2="rdmtest" y3=9 name3="rc 0.1" pointsym=none pointsym2=none pointsym3=none ylbl="% Optimal" xlbl=Plays title="Reinforce Delta Mean Learning"
paste RC0.1.dat | pl -eps -o rc-optimal.eps -prefab lines data=- -x=1 y=3 name="0.1" pointsym=none ylbl="% Optimal" xlbl=Plays title="Reinforcement Comparison Learning"
