Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
tf.keras.models.Sequential([ tf.keras.layers.Dense(32, activation='relu', input_shape=(input_shape,)), tf.keras.layers.Dense(32, activation='relu'), tf.keras.layers.Dense(num_actions) ]) # Set up the optimizer and loss function optimizer = tf.keras.optimizers.Adam(learning_rate=0.001) loss_fn =