418c54a59b807a9afef43da86c1a810fe9b48856,test/test_optimizers.py,TestOptimizers,test_synchronization,#TestOptimizers#,52

Before Change

    def test_synchronization(self):
        self.start_tests(name="synchronization")

        self.unittest(
            policy=dict(network=dict(type="auto", size=8, depth=1, rnn=2)),
            optimizer="synchronization",
            baseline=dict(network=dict(type="auto", size=8, depth=1, rnn=1)),
            baseline_optimizer="adam", baseline_objective="policy_gradient"
        )

    def test_tf_optimizer(self):
        self.start_tests(name="tf-optimizer")

After Change

    def test_synchronization(self):
        self.start_tests(name="synchronization")

        actions = dict(
            bool_action=dict(type="bool", shape=(1,)),
            int_action=dict(type="int", shape=(2,), num_values=4),
            gaussian_action1=dict(type="float", shape=(1, 2), min_value=1.0, max_value=2.0),
            gaussian_action2=dict(type="float", shape=(), min_value=-2.0, max_value=1.0)
        )
        baseline = dict(network=dict(type="auto", size=8, depth=1, rnn=1), distributions=dict(
            gaussian_action2=dict(type="gaussian", global_stddev=True)
        ))
        self.unittest(
            // Requires same size, but can still vary RNN horizon
            actions=actions, baseline=baseline, baseline_optimizer="synchronization",
            // Using policy_gradient here, since action_value is covered by DQN
            baseline_objective="policy_gradient"
        )

    def test_tf_optimizer(self):
        self.start_tests(name="tf-optimizer")

Instances