diff --git a/py/gym_dqn.py b/py/gym_dqn.py
new file mode 100644
index 0000000..eac09ae
--- /dev/null
+++ b/py/gym_dqn.py
@@ -0,0 +1,41 @@
+# %% Keras-RL for gym cart pole
+
+import gym
+from rl.policy import EpsGreedyQPolicy, LinearAnnealedPolicy
+from rl.memory import SequentialMemory
+from rl.agents.dqn import DQNAgent
+
+# 1. model
+def build_model(state_size, num_actions):
+    input = Input(shape=(1,state_size))
+    x = Flatten()(input)
+    x = Dense(16, activation='relu')(x)
+    x = Dense(16, activation='relu')(x)
+    x = Dense(16, activation='relu')(x)
+    output = Dense(num_actions, activation='linear')(x)
+    model = Model(inputs=input, outputs=output)
+    print(model.summary())
+    return model
+
+model = build_model()
+
+# 2. memory
+memory = SequentialMemory(limit=50000, window_length=1)
+
+# 3. policy (decay eps)
+
+policy = LinearAnnealedPolicy(
+    EpsGreedyQPolicy(),
+    attr='eps',
+    value_max=1.,
+    value_min=.1,
+    value_test=.05,
+    nb_steps=10000)
+
+# 4. agent
+
+dqn = DQNAgent(
+    model=model, nb_actions=num_actions, memory=memory, nb_steps_warmup=10,
+               target_model_update=1e-2, policy=policy)
+
+dqn.compile(Adam(lr=1e-3), metrics=['mae'])
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