Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, Deep Learning.
activation=tf.keras.layers.LeakyReLU(alpha=0.2))) model.add(Dense(num_actions,activation='tanh')) return model actor, target_actor = actor_network(),actor_network() optimizer_actor = Adam(learning_rate=0.001) Things to note Both Actor and Target Actor have the same architecture They are shallow