title: keras-rl model with multiple outputs
body: <p>I want to build a reinforcement learning model with keras which needs to have two outputs. can it be done the same way that the Keras library does or is it even doable?</p>
  <p>this is what I want to do</p>
  <pre><code>inp = Input(shape=(input_layer_size, ))
  x = Dense(hidden_layer_size, activation=&quot;relu&quot;)(inp)
  for i in range(nb_hidden_layer):
      x = Dense(hidden_layer_size, activation=&quot;relu&quot;)(x)
  a1 = Dense(1, activation='sigmoid')(x)
  a2 = Dense(1, activation='sigmoid')(x)
  
  </code></pre>