SupaeroDataScience · npinchemel · Mar 13, 2018 · Mar 13, 2018 · Mar 13, 2018 · Mar 13, 2018
diff --git a/Pinchemel/FlappyAgent.py b/Pinchemel/FlappyAgent.py
@@ -0,0 +1,10 @@
+
+import numpy as np
+from keras.models import load_model
+
+model = load_model("model_flappy_best_score.dqf")
+
+def FlappyPolicy(state, screen):
+    qval = model.predict(np.array(list(state.values())).reshape(1,8), batch_size=1) 
+
+    return 119 * (np.argmax(qval[0]))
diff --git a/README.md → Pinchemel/README.md b/README.md → Pinchemel/README.md
diff --git a/Pinchemel/__pycache__/FlappyAgent.cpython-36.pyc b/Pinchemel/__pycache__/FlappyAgent.cpython-36.pyc