bc3343ccf075e2feef0ca832a48ef2cd16335d99,tensorforce/core/baselines/mlp.py,MLPBaseline,create_tf_operations,#MLPBaseline#Any#,38

Before Change

            network_builder = layered_network_builder((
                {"type": "dense", "size": self.size},
                {"type": "dense", "size": self.size},
                {"type": "linear", "size": 1})
            )

After Change

            self.returns = tf.placeholder(dtype=tf.float32, shape=(None,))

            layers = []
            for _ in xrange(self.hidden_layers):
                layers.append({"type": "dense", "size": self.size})

            layers.append({"type": "linear", "size": 1})
            network = NeuralNetwork(network_builder=layered_network_builder(layers),
                                    inputs=dict(state=self.state))

Instances