copy

1 files changed, 36 insertions, 0 deletions

diff --git a/rl/gym_demo/lunar/utils.py b/rl/gym_demo/lunar/utils.py
new file mode 100644
index 0000000..e881c76
--- /dev/null
+++ b/rl/gym_demo/lunar/utils.py
@@ -0,0 +1,36 @@
+import matplotlib.pyplot as plt
+import numpy as np
+import gym
+
+def plotLearning(x, scores, epsilons, filename, lines=None):
+    fig=plt.figure()
+    ax=fig.add_subplot(111, label="1")
+    ax2=fig.add_subplot(111, label="2", frame_on=False)
+
+    ax.plot(x, epsilons, color="C0")
+    ax.set_xlabel("Game", color="C0")
+    ax.set_ylabel("Epsilon", color="C0")
+    ax.tick_params(axis='x', colors="C0")
+    ax.tick_params(axis='y', colors="C0")
+
+    N = len(scores)
+    running_avg = np.empty(N)
+    for t in range(N):
+	    running_avg[t] = np.mean(scores[max(0, t-20):(t+1)])
+
+    ax2.scatter(x, running_avg, color="C1")
+    #ax2.xaxis.tick_top()
+    ax2.axes.get_xaxis().set_visible(False)
+    ax2.yaxis.tick_right()
+    #ax2.set_xlabel('x label 2', color="C1")
+    ax2.set_ylabel('Score', color="C1")
+    #ax2.xaxis.set_label_position('top')
+    ax2.yaxis.set_label_position('right')
+    #ax2.tick_params(axis='x', colors="C1")
+    ax2.tick_params(axis='y', colors="C1")
+
+    if lines is not None:
+        for line in lines:
+            plt.axvline(x=line)
+
+    plt.savefig(filename)
\ No newline at end of file