e46c1ded997580101e5a5dd3ef0e6501e82f59af,tensorforce/tests/test_tutorial_code.py,TestTutorialCode,test_blogpost_introduction_runner,#TestTutorialCode#,395

Before Change

            target_update_frequency=20,
            states=environment.states,
            actions=environment.actions,
            network=layered_network_builder(network_config)
        )

        agent = DQNAgent(config=agent_config)
        runner = Runner(agent=agent, environment=environment)

        def episode_finished(runner):
            if runner.episode % 100 == 0:

After Change

        from tensorforce.agents import DQNAgent
        from tensorforce.execution import Runner

        environment = MinimalTest(specification=[("int", ())])

        network_config = [
            dict(type="dense", size=32)
        ]

Instances