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-rw-r--r--doc/array_naive_vs_episodic.gnuplot1
-rw-r--r--doc/array_naive_vs_episodic_deriv.gnuplot1
-rw-r--r--doc/derivs/nn3.log1000
-rw-r--r--doc/doc.tex2
-rw-r--r--doc/logs/nn3.log1000
5 files changed, 2004 insertions, 0 deletions
diff --git a/doc/array_naive_vs_episodic.gnuplot b/doc/array_naive_vs_episodic.gnuplot
index 00e9a92..a1196c5 100644
--- a/doc/array_naive_vs_episodic.gnuplot
+++ b/doc/array_naive_vs_episodic.gnuplot
@@ -3,6 +3,7 @@ set xrange [0: 1000]
plot 'logs/old.log' with lines title 'QArray, old textbook strategy',\
'logs/new.log' with lines title 'QArray, new reversed strategy',\
'logs/nn2.log' using ($1, $2*20) with lines title 'QNN',\
+ 'logs/nn3.log' using ($1, $2*20) with lines title 'QNN, randomize range 0.27',\
'logs/nn.log' using ($1, $2*20) with lines title 'QNN, friendlyness=1'
pause -1
diff --git a/doc/array_naive_vs_episodic_deriv.gnuplot b/doc/array_naive_vs_episodic_deriv.gnuplot
index 123acce..66b4efa 100644
--- a/doc/array_naive_vs_episodic_deriv.gnuplot
+++ b/doc/array_naive_vs_episodic_deriv.gnuplot
@@ -3,5 +3,6 @@ set xrange [0: 1000]
plot 'derivs/old.log' with lines lt rgb 'red' title 'QArray, old textbook strategy, n=100',\
'derivs/new.log' with lines lt rgb 'green' title 'QArray, new reversed strategy, n=100',\
'derivs/nn2.log' using ($1, $2*20) with lines lt rgb 'blue' title 'QNN, n=30',\
+ 'derivs/nn3.log' using ($1, $2*20) with lines lt rgb 'blue' title 'QNN, randomisation range 0.27',\
'derivs/nn.log' using ($1, $2*20) with lines lt rgb 'light-blue' title 'QNN, friendlyness=1, n=1'
pause -1
diff --git a/doc/derivs/nn3.log b/doc/derivs/nn3.log
new file mode 100644
index 0000000..04787fd
--- /dev/null
+++ b/doc/derivs/nn3.log
@@ -0,0 +1,1000 @@
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diff --git a/doc/doc.tex b/doc/doc.tex
index 71e5e1e..aa85061 100644
--- a/doc/doc.tex
+++ b/doc/doc.tex
@@ -35,6 +35,8 @@ In the graphs, which show the total reward earned as a function of the episodes
Note that the nn and nn2 runs get a reward of only $0.5$ for reaching the goal, while the old and new runs get $10$. Therefore, the nn/nn2 results have been multiplied by $20$ to make them comparable.
+Then, there has been done a run with \verb+self.NN.randomize_weights+ in the range of $(-0.27, 0.27)$ instead of $(1,1)$.
+
\gnuplotloadfile[terminal=pdf]{array_naive_vs_episodic.gnuplot}
\gnuplotloadfile[terminal=pdf]{array_naive_vs_episodic_deriv.gnuplot}
diff --git a/doc/logs/nn3.log b/doc/logs/nn3.log
new file mode 100644
index 0000000..67988b0
--- /dev/null
+++ b/doc/logs/nn3.log
@@ -0,0 +1,1000 @@
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