199e8bb5d7bb176a67074ffccab03e207d7cf0f4,tensorforce/examples/simple_q_agent.py,SimpleQModel,__init__,#SimpleQModel#Any#Any#,48

Before Change

            // Create neural network
            output_layer = [{"type": "linear", "num_outputs": self.action_count}]
            self.network = NeuralNetwork(self.config.network_layers + output_layer, self.state, scope=self.scope + "network")
            self.network_out = self.network.get_output()

            // Create operations
            self.create_ops()
            self.init_op = tf.global_variables_initializer()

After Change

        with tf.device(self.config.tf_device):
            // Create state placeholder
            self.state = tf.placeholder(tf.float32, [None] + list(self.config.state_shape), name="state")

            // Create neural network
            output_layer = [{"type": "linear", "num_outputs": self.action_count}]

            define_network = NeuralNetwork.layered_network(self.config.network_layers + output_layer)
            self.network = NeuralNetwork(define_network, [self.state], scope=self.scope + "network")
            self.network_out = self.network.output

            // Create operations
            self.create_ops()

Instances